From 9d498ad5b33bfae4247d4d76b29401e25b845491 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 14 Mar 2024 15:32:49 +0000 Subject: [PATCH] Update best-of list for version 2024.03.14 --- README.md | 3589 ++++++++++++++++--------------- history/2024-03-14_changes.md | 30 + history/2024-03-14_projects.csv | 918 ++++++++ latest-changes.md | 40 +- 4 files changed, 2811 insertions(+), 1766 deletions(-) create mode 100644 history/2024-03-14_changes.md create mode 100644 history/2024-03-14_projects.csv diff --git a/README.md b/README.md index 2c99779..686ad28 100644 --- a/README.md +++ b/README.md @@ -101,12 +101,12 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡56 Β· ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 350K Β· πŸ“‹ 39K - 5% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 350K Β· πŸ“‹ 39K - 5% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 20M / month Β· πŸ“¦ 16K Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 21M / month Β· πŸ“¦ 16K Β· ⏱️ 09.03.2024): ``` pip install tensorflow ``` @@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 76M Β· ⭐ 2.3K Β· ⏱️ 07.03.2024): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow): ``` docker pull tensorflow/tensorflow ```
-
PyTorch (πŸ₯‡54 Β· ⭐ 76K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡54 Β· ⭐ 77K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 20K Β· πŸ“₯ 35K Β· πŸ“¦ 400K Β· πŸ“‹ 41K - 32% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 20K Β· πŸ“₯ 36K Β· πŸ“¦ 410K Β· πŸ“‹ 41K - 32% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 20M / month Β· πŸ“¦ 13K Β· ⏱️ 22.02.2024): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 21M / month Β· πŸ“¦ 13K Β· ⏱️ 22.02.2024): ``` pip install torch ``` @@ -137,12 +137,12 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (πŸ₯‡51 Β· ⭐ 58K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 940 Β· πŸ“¦ 720K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 940 Β· πŸ“¦ 720K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 56M / month Β· πŸ“¦ 31K Β· ⏱️ 16.02.2024): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 59M / month Β· πŸ“¦ 32K Β· ⏱️ 16.02.2024): ``` pip install scikit-learn ``` @@ -153,12 +153,12 @@ _General-purpose machine learning and deep learning frameworks._
Keras (πŸ₯‡47 Β· ⭐ 61K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 17M / month Β· πŸ“¦ 760 Β· ⏱️ 14.02.2024): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 17M / month Β· πŸ“¦ 770 Β· ⏱️ 14.02.2024): ``` pip install keras ``` @@ -167,25 +167,41 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge keras ```
+
PySpark (πŸ₯‡45 Β· ⭐ 38K Β· πŸ“ˆ) - Apache Spark Python API. Apache-2 + +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 28K Β· ⏱️ 14.03.2024): + + ``` + git clone https://github.com/apache/spark + ``` +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 29M / month Β· πŸ“¦ 1.3K Β· ⏱️ 26.02.2024): + ``` + pip install pyspark + ``` +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3M Β· ⏱️ 03.03.2024): + ``` + conda install -c conda-forge pyspark + ``` +
jax (πŸ₯‡45 Β· ⭐ 27K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 2.4K Β· πŸ“¦ 23K Β· πŸ“‹ 5K - 25% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 2.4K Β· πŸ“¦ 23K Β· πŸ“‹ 5.4K - 29% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 5.9M / month): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 5.9M / month Β· πŸ“¦ 870 Β· ⏱️ 26.02.2024): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1.1M Β· ⏱️ 02.03.2024): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1.1M Β· ⏱️ 13.03.2024): ``` conda install -c conda-forge jaxlib ```
pytorch-lightning (πŸ₯‡45 Β· ⭐ 26K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 930 Β· πŸ”€ 3.2K Β· πŸ“₯ 8.7K Β· πŸ“¦ 30K Β· πŸ“‹ 6.8K - 9% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 3.2K Β· πŸ“₯ 8.7K Β· πŸ“¦ 30K Β· πŸ“‹ 6.8K - 9% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/Lightning-AI/lightning @@ -201,12 +217,12 @@ _General-purpose machine learning and deep learning frameworks._
XGBoost (πŸ₯‡45 Β· ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.7K Β· πŸ“₯ 8.1K Β· πŸ“¦ 83K Β· πŸ“‹ 5.1K - 7% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.6K Β· πŸ“₯ 8.2K Β· πŸ“¦ 84K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 16M / month Β· πŸ“¦ 1.8K Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 17M / month Β· πŸ“¦ 1.8K Β· ⏱️ 19.12.2023): ``` pip install xgboost ``` @@ -217,24 +233,24 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (πŸ₯‡45 Β· ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.2K Β· πŸ“₯ 15K Β· πŸ“¦ 4.7K Β· πŸ“‹ 18K - 5% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 4.8K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 260K / month): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 260K / month Β· πŸ“¦ 94 Β· ⏱️ 26.12.2023): ``` pip install paddlepaddle ```
StatsModels (πŸ₯‡45 Β· ⭐ 9.4K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.6K Β· πŸ“₯ 30 Β· πŸ“¦ 120K Β· πŸ“‹ 5.3K - 48% open Β· ⏱️ 28.02.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.8K Β· πŸ“₯ 30 Β· πŸ“¦ 120K Β· πŸ“‹ 5.4K - 49% open Β· ⏱️ 28.02.2024): ``` git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 14M / month): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 15M / month Β· πŸ“¦ 5.6K Β· ⏱️ 14.12.2023): ``` pip install statsmodels ``` @@ -245,12 +261,12 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (πŸ₯ˆ43 Β· ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.7K Β· πŸ“₯ 220K Β· πŸ“¦ 30K Β· πŸ“‹ 3.2K - 10% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 220K Β· πŸ“¦ 31K Β· πŸ“‹ 3.3K - 10% open Β· ⏱️ 04.03.2024): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 8.1M / month): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 8.3M / month Β· πŸ“¦ 880 Β· ⏱️ 26.01.2024): ``` pip install lightgbm ``` @@ -261,12 +277,12 @@ _General-purpose machine learning and deep learning frameworks._
Catboost (πŸ₯ˆ41 Β· ⭐ 7.7K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 230K Β· πŸ“¦ 13 Β· πŸ“‹ 2.2K - 23% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 230K Β· πŸ“¦ 13 Β· πŸ“‹ 2.3K - 23% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 1.9M / month Β· πŸ“¦ 370 Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2M / month Β· πŸ“¦ 370 Β· ⏱️ 23.02.2024): ``` pip install catboost ``` @@ -277,24 +293,24 @@ _General-purpose machine learning and deep learning frameworks._
Fastai (πŸ₯ˆ40 Β· ⭐ 25K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 7.3K Β· πŸ“¦ 16K Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 7.5K Β· πŸ“¦ 17K Β· πŸ“‹ 1.8K - 11% open Β· ⏱️ 04.03.2024): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 460K / month): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 450K / month Β· πŸ“¦ 350 Β· ⏱️ 01.02.2024): ``` pip install fastai ```
Jina (πŸ₯ˆ39 Β· ⭐ 20K) - Build multimodal AI applications with cloud-native stack. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 29.02.2024): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.9K - 1% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 100K / month): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 86K / month Β· πŸ“¦ 17 Β· ⏱️ 11.03.2024): ``` pip install jina ``` @@ -302,79 +318,103 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge jina-core ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 29.02.2024): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 11.03.2024): ``` docker pull jinaai/jina ```
Flax (πŸ₯ˆ39 Β· ⭐ 5.3K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 560 Β· πŸ“₯ 50 Β· πŸ“¦ 6.3K Β· πŸ“‹ 800 - 14% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 580 Β· πŸ“₯ 50 Β· πŸ“¦ 6.4K Β· πŸ“‹ 890 - 22% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 3.7M / month): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 3.5M / month Β· πŸ“¦ 230 Β· ⏱️ 14.03.2024): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 41K Β· ⏱️ 08.02.2024): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 41K Β· ⏱️ 14.03.2024): ``` conda install -c conda-forge flax ```
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PySpark (πŸ₯ˆ38 Β· ⭐ 38K) - Apache Spark Python API. Apache-2 +
PyFlink (πŸ₯ˆ38 Β· ⭐ 23K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 27K Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 14.03.2024): ``` - git clone https://github.com/apache/spark + git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 29M / month): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 140K / month Β· πŸ“¦ 24 Β· ⏱️ 15.01.2024): ``` - pip install pyspark + pip install apache-flink ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3M Β· ⏱️ 03.03.2024): +
+
Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ“ˆ) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 + +- [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 2.5K Β· πŸ“¦ 15K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 15.01.2024): + ``` - conda install -c conda-forge pyspark + git clone https://github.com/Theano/Theano + ``` +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 360K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): + ``` + pip install theano + ``` +- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 2.4M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge theano + ``` +
+
ivy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 + +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.9K Β· πŸ“‹ 17K - 6% open Β· ⏱️ 14.03.2024): + + ``` + git clone https://github.com/unifyai/ivy + ``` +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 3K / month Β· πŸ“¦ 9 Β· ⏱️ 07.03.2024): + ``` + pip install ivy ```
Ludwig (πŸ₯ˆ35 Β· ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.1K Β· πŸ“¦ 240 Β· πŸ“‹ 1K - 27% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.2K Β· πŸ“¦ 240 Β· πŸ“‹ 1.1K - 31% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 3.8K / month): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.3K / month Β· πŸ“¦ 9 Β· ⏱️ 28.02.2024): ``` pip install ludwig ```
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einops (πŸ₯ˆ35 Β· ⭐ 7.7K) - Flexible and powerful tensor operations for readable and reliable code.. MIT +
Vowpal Wabbit (πŸ₯ˆ35 Β· ⭐ 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 28K Β· πŸ“‹ 160 - 17% open Β· ⏱️ 11.02.2024): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 2K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 08.03.2024): ``` - git clone https://github.com/arogozhnikov/einops + git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 7.1M / month): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 61K / month Β· πŸ“¦ 35 Β· ⏱️ 19.07.2023): ``` - pip install einops + pip install vowpalwabbit ``` -- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 190K Β· ⏱️ 01.10.2023): +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 140K Β· ⏱️ 08.10.2023): ``` - conda install -c conda-forge einops + conda install -c conda-forge vowpalwabbit ```
Thinc (πŸ₯ˆ35 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 270 Β· πŸ“¦ 44K Β· πŸ“‹ 140 - 10% open Β· ⏱️ 07.02.2024): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 44K Β· πŸ“‹ 140 - 11% open Β· ⏱️ 07.02.2024): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 6.1M / month): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 6.1M / month Β· πŸ“¦ 650 Β· ⏱️ 07.02.2024): ``` pip install thinc ``` @@ -383,26 +423,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge thinc ```
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PyFlink (πŸ₯ˆ34 Β· ⭐ 23K) - Apache Flink Python API. Apache-2 +
einops (πŸ₯ˆ34 Β· ⭐ 7.7K) - Flexible and powerful tensor operations for readable and reliable code.. MIT -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 21 Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 29K Β· πŸ“‹ 170 - 19% open Β· ⏱️ 11.02.2024): ``` - git clone https://github.com/apache/flink + git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 200K / month): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 7M / month Β· πŸ“¦ 870 Β· ⏱️ 01.10.2023): ``` - pip install apache-flink + pip install einops + ``` +- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 190K Β· ⏱️ 01.10.2023): + ``` + conda install -c conda-forge einops ```
Ignite (πŸ₯ˆ34 Β· ⭐ 4.4K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 600 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.4K - 8% open Β· ⏱️ 14.02.2024): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 610 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.4K - 11% open Β· ⏱️ 14.02.2024): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 220K / month): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 240K / month): ``` pip install pytorch-ignite ``` @@ -411,14 +455,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch ignite ```
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Sonnet (πŸ₯ˆ33 Β· ⭐ 9.7K) - TensorFlow-based neural network library. Apache-2 +
Sonnet (πŸ₯‰33 Β· ⭐ 9.7K) - TensorFlow-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.2K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 02.01.2024): +- [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.4K Β· πŸ“¦ 1.2K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 02.01.2024): ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 23K / month): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 24K / month Β· πŸ“¦ 53 Β· ⏱️ 02.01.2024): ``` pip install dm-sonnet ``` @@ -427,14 +471,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
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mlpack (πŸ₯ˆ33 Β· ⭐ 4.7K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +
mlpack (πŸ₯‰33 Β· ⭐ 4.7K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 29.02.2024): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 4.3K / month Β· πŸ“¦ 1 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 4K / month Β· πŸ“¦ 1 Β· ⏱️ 16.12.2023): ``` pip install mlpack ``` @@ -443,48 +487,48 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge mlpack ```
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Vowpal Wabbit (πŸ₯‰32 Β· ⭐ 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 +
tensorpack (πŸ₯‰32 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 160 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 06.08.2023): ``` - git clone https://github.com/VowpalWabbit/vowpal_wabbit + git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 55K / month): +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 11K / month Β· πŸ“¦ 47 Β· ⏱️ 22.01.2021): ``` - pip install vowpalwabbit + pip install tensorpack ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 140K Β· ⏱️ 08.10.2023): +- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge vowpalwabbit + conda install -c conda-forge tensorpack ```
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tensorflow-upstream (πŸ₯‰32 Β· ⭐ 670) - TensorFlow ROCm port. Apache-2 +
Haiku (πŸ₯‰32 Β· ⭐ 2.7K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 390 - 26% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 220 Β· πŸ“¦ 1.7K Β· πŸ“‹ 240 - 29% open Β· ⏱️ 11.03.2024): ``` - git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 8.6K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 200K / month Β· πŸ“¦ 90 Β· ⏱️ 28.02.2024): ``` - pip install tensorflow-rocm + pip install dm-haiku + ``` +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 15K Β· ⏱️ 28.02.2024): + ``` + conda install -c conda-forge dm-haiku ```
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tensorpack (πŸ₯‰31 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 +
tensorflow-upstream (πŸ₯‰32 Β· ⭐ 680) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 160 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 06.08.2023): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 390 - 26% open Β· ⏱️ 11.03.2024): ``` - git clone https://github.com/tensorpack/tensorpack - ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 11K / month): - ``` - pip install tensorpack + git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 8.6K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): ``` - conda install -c conda-forge tensorpack + pip install tensorflow-rocm ```
dyNET (πŸ₯‰31 Β· ⭐ 3.4K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 @@ -499,20 +543,20 @@ _General-purpose machine learning and deep learning frameworks._ pip install dyNET ```
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Haiku (πŸ₯‰31 Β· ⭐ 2.7K) - JAX-based neural network library. Apache-2 +
Geomstats (πŸ₯‰31 Β· ⭐ 1.1K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 220 Β· πŸ“¦ 1.7K Β· πŸ“‹ 240 - 29% open Β· ⏱️ 28.02.2024): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 97 Β· πŸ“‹ 550 - 37% open Β· ⏱️ 14.03.2024): ``` - git clone https://github.com/deepmind/dm-haiku + git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 190K / month): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` - pip install dm-haiku + pip install geomstats ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 15K Β· ⏱️ 28.02.2024): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 2.2K Β· ⏱️ 30.08.2023): ``` - conda install -c conda-forge dm-haiku + conda install -c conda-forge geomstats ```
skorch (πŸ₯‰30 Β· ⭐ 5.6K) - A scikit-learn compatible neural network library that wraps.. BSD-3 @@ -522,7 +566,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 96K / month Β· πŸ“¦ 54 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 100K / month Β· πŸ“¦ 54 Β· ⏱️ 04.09.2023): ``` pip install skorch ``` @@ -533,44 +577,28 @@ _General-purpose machine learning and deep learning frameworks._
Determined (πŸ₯‰30 Β· ⭐ 2.8K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 340 Β· πŸ“₯ 7.9K Β· πŸ“‹ 480 - 31% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 340 Β· πŸ“₯ 7.9K Β· πŸ“‹ 480 - 31% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 34K / month Β· πŸ“¦ 4 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 33K / month Β· πŸ“¦ 4 Β· ⏱️ 13.03.2024): ``` pip install determined ```
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Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.7K Β· πŸ“ˆ) - Neural Network Libraries. Apache-2 +
Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 340 Β· πŸ“₯ 910 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 340 Β· πŸ“₯ 910 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 8.9K / month Β· πŸ“¦ 55 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 9.3K / month Β· πŸ“¦ 55 Β· ⏱️ 06.12.2023): ``` pip install nnabla ```
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Geomstats (πŸ₯‰30 Β· ⭐ 1.1K) - Computations and statistics on manifolds with geometric structures. MIT - -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 97 Β· πŸ“‹ 520 - 33% open Β· ⏱️ 06.03.2024): - - ``` - git clone https://github.com/geomstats/geomstats - ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.9K / month): - ``` - pip install geomstats - ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 2.2K Β· ⏱️ 30.08.2023): - ``` - conda install -c conda-forge geomstats - ``` -
EvaDB (πŸ₯‰29 Β· ⭐ 2.5K) - Database system for AI-powered apps. Apache-2 - [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 250 Β· πŸ“₯ 410K Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): @@ -578,43 +606,43 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 14K / month): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 12K / month Β· ⏱️ 19.11.2023): ``` pip install evadb ```
ktrain (πŸ₯‰29 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 260 Β· πŸ“¦ 500 Β· πŸ“‹ 490 - 0% open Β· ⏱️ 20.02.2024): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 510 Β· πŸ“‹ 490 - 0% open Β· ⏱️ 20.02.2024): ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 11K / month): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 12.03.2024): ``` pip install ktrain ```
Neural Tangents (πŸ₯‰26 Β· ⭐ 2.2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 220 Β· πŸ“₯ 360 Β· πŸ“¦ 94 Β· πŸ“‹ 150 - 38% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 370 Β· πŸ“¦ 95 Β· πŸ“‹ 150 - 39% open Β· ⏱️ 01.03.2024): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 1.9K / month): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): ``` pip install neural-tangents ```
pyRiemann (πŸ₯‰26 Β· ⭐ 570) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 310 Β· πŸ“‹ 110 - 7% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 320 Β· πŸ“‹ 110 - 7% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 33K / month Β· πŸ“¦ 20 Β· ⏱️ 17.07.2022): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 34K / month Β· πŸ“¦ 20 Β· ⏱️ 17.07.2022): ``` pip install pyriemann ``` @@ -646,7 +674,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 4.7K / month Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 4.8K / month Β· ⏱️ 04.12.2023): ``` pip install towhee ``` @@ -658,11 +686,43 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 600 / month Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 590 / month Β· ⏱️ 09.11.2023): ``` pip install fklearn ```
+
mace (πŸ₯‰23 Β· ⭐ 4.9K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 + +- [GitHub](https://github.com/XiaoMi/mace) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 820 Β· πŸ“₯ 1.5K Β· πŸ“‹ 680 - 8% open Β· ⏱️ 11.03.2024): + + ``` + git clone https://github.com/XiaoMi/mace + ``` +
+
Objax (πŸ₯‰22 Β· ⭐ 760) - Objax is a machine learning framework that provides an Object.. Apache-2 + +- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 49 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 27.01.2024): + + ``` + git clone https://github.com/google/objax + ``` +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 590 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): + ``` + pip install objax + ``` +
+
NeoML (πŸ₯‰22 Β· ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2 + +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 04.03.2024): + + ``` + git clone https://github.com/neoml-lib/neoml + ``` +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 300 / month Β· ⏱️ 26.12.2023): + ``` + pip install neoml + ``` +
Torchbearer (πŸ₯‰22 Β· ⭐ 630) - torchbearer: A model fitting library for PyTorch. MIT - [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 86 Β· πŸ“‹ 250 - 4% open Β· ⏱️ 04.12.2023): @@ -670,7 +730,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 720 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 760 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): ``` pip install torchbearer ``` @@ -682,68 +742,52 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 310 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 370 / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ```
chefboost (πŸ₯‰21 Β· ⭐ 440) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 96 Β· πŸ“¦ 52 Β· πŸ“‹ 45 - 11% open Β· ⏱️ 26.12.2023): +- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 97 Β· πŸ“¦ 52 Β· πŸ“‹ 45 - 11% open Β· ⏱️ 26.12.2023): ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 2.4K / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 2.6K / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ```
-
NeoML (πŸ₯‰20 Β· ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2 +
ThunderGBM (πŸ₯‰16 Β· ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 120 Β· πŸ“‹ 65 - 23% open Β· ⏱️ 04.03.2024): - - ``` - git clone https://github.com/neoml-lib/neoml - ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 430 / month): - ``` - pip install neoml - ``` -
-
ThunderGBM (πŸ₯‰17 Β· ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 - -- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 87 Β· πŸ“¦ 2 Β· πŸ“‹ 79 - 46% open Β· ⏱️ 29.01.2024): +- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 87 Β· πŸ“¦ 2 Β· πŸ“‹ 80 - 47% open Β· ⏱️ 29.01.2024): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 160 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 140 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ```
-
Show 19 hidden projects... +
Show 15 hidden projects... -- dlib (πŸ₯ˆ39 Β· ⭐ 13K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 +- dlib (πŸ₯ˆ40 Β· ⭐ 13K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 -- Theano (πŸ₯ˆ34 Β· ⭐ 9.8K Β· πŸ“‰) - Theano was a Python library that allows you to define,.. ❗Unlicensed -- MindsDB (πŸ₯ˆ33 Β· ⭐ 20K) - The platform for building custom AI, enabling smarter.. ❗Unlicensed -- Chainer (πŸ₯ˆ33 Β· ⭐ 5.8K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT +- MindsDB (πŸ₯‰33 Β· ⭐ 20K) - The platform for customizing AI from enterprise data. ❗️libpng-2.0 +- Chainer (πŸ₯‰33 Β· ⭐ 5.8K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 -- ivy (πŸ₯‰31 Β· ⭐ 14K Β· πŸ“‰) - The Unified AI Framework. ❗Unlicensed +- TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT - CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT -- TFlearn (πŸ₯‰29 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed +- NuPIC (πŸ₯‰28 Β· ⭐ 6.3K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT -- NuPIC (πŸ₯‰27 Β· ⭐ 6.3K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - xLearn (πŸ₯‰24 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - NeuPy (πŸ₯‰24 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - neon (πŸ₯‰23 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 -- mace (πŸ₯‰22 Β· ⭐ 4.9K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 -- Objax (πŸ₯‰21 Β· ⭐ 760) - Apache-2 - elegy (πŸ₯‰19 Β· ⭐ 460 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 3.9K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT -- nanodl (πŸ₯‰12 Β· ⭐ 120) - A Jax-based library for designing and training transformer models from.. MIT +- nanodl (πŸ₯‰13 Β· ⭐ 140) - A Jax-based library for designing and training transformer models from.. MIT

@@ -753,14 +797,14 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡50 Β· ⭐ 19K) - matplotlib: plotting with Python. Python-2.0 +
Matplotlib (πŸ₯‡48 Β· ⭐ 19K Β· πŸ“‰) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7.3K Β· πŸ“¦ 1.1M Β· πŸ“‹ 10K - 14% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.2K Β· πŸ“¦ 1.1M Β· πŸ“‹ 10K - 11% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 58M / month Β· πŸ“¦ 65K Β· ⏱️ 16.02.2024): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 60M / month): ``` pip install matplotlib ``` @@ -769,14 +813,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge matplotlib ```
+
Bokeh (πŸ₯‡45 Β· ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3 + +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 4.2K Β· πŸ“¦ 85K Β· πŸ“‹ 7.6K - 9% open Β· ⏱️ 14.03.2024): + + ``` + git clone https://github.com/bokeh/bokeh + ``` +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.7M / month Β· πŸ“¦ 3.8K Β· ⏱️ 08.03.2024): + ``` + pip install bokeh + ``` +- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 13M Β· ⏱️ 25.01.2024): + ``` + conda install -c conda-forge bokeh + ``` +
Plotly (πŸ₯‡44 Β· ⭐ 15K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“¦ 250K Β· πŸ“‹ 2.9K - 51% open Β· ⏱️ 15.02.2024): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“¦ 250K Β· πŸ“‹ 2.9K - 51% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 13M / month Β· πŸ“¦ 5.7K Β· ⏱️ 15.02.2024): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 14M / month Β· πŸ“¦ 5.7K Β· ⏱️ 13.03.2024): ``` pip install plotly ``` @@ -784,67 +844,51 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 8.1K / month Β· πŸ“¦ 7 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 7.9K / month Β· πŸ“¦ 7 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
Seaborn (πŸ₯‡44 Β· ⭐ 12K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 380 Β· πŸ“¦ 370K Β· πŸ“‹ 2.5K - 5% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.8K Β· πŸ“₯ 380 Β· πŸ“¦ 380K Β· πŸ“‹ 2.5K - 4% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 17M / month Β· πŸ“¦ 12K Β· ⏱️ 25.01.2024): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 17M / month): ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 8.1M Β· ⏱️ 27.01.2024): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 8.2M Β· ⏱️ 27.01.2024): ``` conda install -c conda-forge seaborn ```
-
Bokeh (πŸ₯‡43 Β· ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3 - -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 4.1K Β· πŸ“¦ 85K Β· πŸ“‹ 7.6K - 9% open Β· ⏱️ 07.03.2024): - - ``` - git clone https://github.com/bokeh/bokeh - ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.6M / month): - ``` - pip install bokeh - ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 13M Β· ⏱️ 25.01.2024): - ``` - conda install -c conda-forge bokeh - ``` -
dash (πŸ₯‡41 Β· ⭐ 20K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2K Β· πŸ“₯ 70 Β· πŸ“¦ 59K Β· πŸ“‹ 1.7K - 48% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.9K Β· πŸ“₯ 70 Β· πŸ“¦ 60K Β· πŸ“‹ 1.7K - 46% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.5K Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.9M / month): ``` pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.2M Β· ⏱️ 02.03.2024): +- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.2M Β· ⏱️ 10.03.2024): ``` conda install -c conda-forge dash ```
Altair (πŸ₯‡41 Β· ⭐ 8.8K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 780 Β· πŸ“₯ 110 Β· πŸ“¦ 110K Β· πŸ“‹ 1.9K - 9% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 720 Β· πŸ“₯ 110 Β· πŸ“¦ 110K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 22M / month Β· πŸ“¦ 670 Β· ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 22M / month): ``` pip install altair ``` @@ -855,24 +899,24 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (πŸ₯ˆ37 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 2.8K Β· πŸ“₯ 5 Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 2.8K Β· πŸ“₯ 7 Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 120K / month Β· πŸ“¦ 250 Β· ⏱️ 03.03.2024): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 140K / month): ``` pip install pyecharts ```
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 61 Β· πŸ“¦ 2.6K Β· πŸ“‹ 770 - 27% open Β· ⏱️ 27.02.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 68 Β· πŸ“¦ 2.6K Β· πŸ“‹ 770 - 27% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 520K / month): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 520K / month Β· πŸ“¦ 200 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -883,12 +927,12 @@ _General-purpose and task-specific data visualization libraries._
HoloViews (πŸ₯ˆ37 Β· ⭐ 2.6K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 9.6K Β· πŸ“‹ 3.2K - 33% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 9.7K Β· πŸ“‹ 3.2K - 33% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 400K / month Β· πŸ“¦ 280 Β· ⏱️ 12.02.2024): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 400K / month): ``` pip install holoviews ``` @@ -896,14 +940,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 290 / month Β· πŸ“¦ 3 Β· ⏱️ 15.01.2024): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 270 / month): ``` npm install @pyviz/jupyterlab_pyviz ```
plotnine (πŸ₯ˆ36 Β· ⭐ 3.8K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 210 Β· πŸ“¦ 7K Β· πŸ“‹ 610 - 11% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 210 Β· πŸ“¦ 7.1K Β· πŸ“‹ 610 - 11% open Β· ⏱️ 07.03.2024): ``` git clone https://github.com/has2k1/plotnine @@ -917,66 +961,102 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge plotnine ```
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PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.6K) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
PyVista (πŸ₯ˆ36 Β· ⭐ 2.2K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1K Β· πŸ“¦ 9K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 420 Β· πŸ“₯ 790 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.5K - 30% open Β· ⏱️ 13.03.2024): ``` - git clone https://github.com/pyqtgraph/pyqtgraph + git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 190K / month Β· πŸ“¦ 980 Β· ⏱️ 14.04.2023): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 200K / month): ``` - pip install pyqtgraph + pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 510K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 450K Β· ⏱️ 12.03.2024): ``` - conda install -c conda-forge pyqtgraph + conda install -c conda-forge pyvista ```
-
PyVista (πŸ₯ˆ36 Β· ⭐ 2.2K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT +
wordcloud (πŸ₯ˆ35 Β· ⭐ 9.9K) - A little word cloud generator in Python. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“₯ 790 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.5K - 30% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 530 - 21% open Β· ⏱️ 09.12.2023): ``` - git clone https://github.com/pyvista/pyvista + git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 330K / month): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.5M / month Β· πŸ“¦ 850 Β· ⏱️ 09.12.2023): ``` - pip install pyvista + pip install wordcloud ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 440K Β· ⏱️ 06.02.2024): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 460K Β· ⏱️ 11.12.2023): ``` - conda install -c conda-forge pyvista + conda install -c conda-forge wordcloud + ``` +
+
VisPy (πŸ₯ˆ35 Β· ⭐ 3.2K) - High-performance interactive 2D/3D data visualization library. BSD-3 + +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 16.02.2024): + + ``` + git clone https://github.com/vispy/vispy + ``` +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 92K / month Β· πŸ“¦ 140 Β· ⏱️ 03.10.2023): + ``` + pip install vispy + ``` +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 460K Β· ⏱️ 04.10.2023): + ``` + conda install -c conda-forge vispy + ``` +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 3 / month): + ``` + npm install vispy ```
Graphviz (πŸ₯ˆ35 Β· ⭐ 1.5K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 200 Β· πŸ“¦ 62K Β· πŸ“‹ 170 - 5% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 210 Β· πŸ“¦ 62K Β· πŸ“‹ 170 - 5% open Β· ⏱️ 06.03.2024): ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 9.1M / month Β· πŸ“¦ 3.5K Β· ⏱️ 23.07.2022): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 9.6M / month Β· πŸ“¦ 3.5K Β· ⏱️ 23.07.2022): ``` pip install graphviz ``` -- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 43K Β· ⏱️ 06.12.2023): +- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 44K Β· ⏱️ 06.12.2023): ``` conda install -c anaconda python-graphviz ```
FiftyOne (πŸ₯ˆ34 Β· ⭐ 6.5K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 460 Β· πŸ“¦ 510 Β· πŸ“‹ 1.5K - 32% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 460 Β· πŸ“¦ 510 Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 45K / month Β· πŸ“¦ 12 Β· ⏱️ 15.02.2024): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 44K / month): ``` pip install fiftyone ```
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cartopy (πŸ₯ˆ34 Β· ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 + +- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“¦ 4.6K Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 13.03.2024): + + ``` + git clone https://github.com/SciTools/cartopy + ``` +- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 230K / month Β· πŸ“¦ 480 Β· ⏱️ 05.08.2023): + ``` + pip install cartopy + ``` +- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 3.4M Β· ⏱️ 24.10.2023): + ``` + conda install -c conda-forge cartopy + ``` +
datashader (πŸ₯ˆ33 Β· ⭐ 3.2K) - Quickly and accurately render even the largest data. BSD-3 - [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 360 Β· πŸ“¦ 3.7K Β· πŸ“‹ 570 - 22% open Β· ⏱️ 13.02.2024): @@ -984,23 +1064,23 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 500K / month): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 460K / month): ``` pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 770K Β· ⏱️ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 780K Β· ⏱️ 27.10.2023): ``` conda install -c conda-forge datashader ```
mpld3 (πŸ₯ˆ33 Β· ⭐ 2.3K) - D3 Renderings of Matplotlib Graphics. BSD-3 -- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 360 Β· πŸ“¦ 5.6K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 23.12.2023): +- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 360 Β· πŸ“¦ 5.7K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 23.12.2023): ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 520K / month Β· πŸ“¦ 420 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 500K / month Β· πŸ“¦ 420 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` @@ -1008,71 +1088,55 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 630 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 680 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
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cartopy (πŸ₯ˆ33 Β· ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 - -- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“¦ 4.5K Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 05.03.2024): - - ``` - git clone https://github.com/SciTools/cartopy - ``` -- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 230K / month Β· πŸ“¦ 470 Β· ⏱️ 05.08.2023): - ``` - pip install cartopy - ``` -- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 3.4M Β· ⏱️ 24.10.2023): - ``` - conda install -c conda-forge cartopy - ``` -
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wordcloud (πŸ₯ˆ32 Β· ⭐ 9.9K) - A little word cloud generator in Python. MIT +
UMAP (πŸ₯ˆ32 Β· ⭐ 6.8K Β· πŸ“ˆ) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 510 - 18% open Β· ⏱️ 09.12.2023): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 760 Β· πŸ“¦ 1 Β· πŸ“‹ 770 - 57% open Β· ⏱️ 12.02.2024): ``` - git clone https://github.com/amueller/word_cloud + git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.5M / month): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 720K / month Β· πŸ“¦ 560 Β· ⏱️ 18.11.2023): ``` - pip install wordcloud + pip install umap-learn ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 460K Β· ⏱️ 11.12.2023): +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.3M Β· ⏱️ 04.02.2024): ``` - conda install -c conda-forge wordcloud + conda install -c conda-forge umap-learn ```
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Perspective (πŸ₯ˆ31 Β· ⭐ 7.3K) - A data visualization and analytics component, especially.. Apache-2 +
Perspective (πŸ₯ˆ31 Β· ⭐ 7.4K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 940 Β· πŸ“₯ 2.3K Β· πŸ“¦ 120 Β· πŸ“‹ 720 - 11% open Β· ⏱️ 27.02.2024): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 940 Β· πŸ“₯ 2.4K Β· πŸ“¦ 120 Β· πŸ“‹ 720 - 12% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 8.5K / month): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 8K / month): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 520K Β· ⏱️ 27.02.2024): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 520K Β· ⏱️ 12.03.2024): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 400 / month): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 590 / month): ``` npm install @finos/perspective-jupyterlab ```
D-Tale (πŸ₯ˆ31 Β· ⭐ 4.5K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 370 Β· πŸ“¦ 1K Β· πŸ“‹ 560 - 10% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 370 Β· πŸ“¦ 1K Β· πŸ“‹ 570 - 10% open Β· ⏱️ 06.03.2024): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 55K / month Β· πŸ“¦ 23 Β· ⏱️ 07.03.2024): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 57K / month Β· πŸ“¦ 23 Β· ⏱️ 07.03.2024): ``` pip install dtale ``` @@ -1083,24 +1147,24 @@ _General-purpose and task-specific data visualization libraries._
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.4K) - Multiplatform plotting library based on the Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 610 Β· πŸ“¦ 65 Β· πŸ“‹ 510 - 25% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 620 Β· πŸ“¦ 66 Β· πŸ“‹ 520 - 26% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 26K / month Β· πŸ“¦ 5 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 27K / month Β· πŸ“¦ 5 Β· ⏱️ 07.03.2024): ``` pip install lets-plot ```
hvPlot (πŸ₯ˆ31 Β· ⭐ 910) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 97 Β· πŸ“¦ 4.5K Β· πŸ“‹ 730 - 44% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 98 Β· πŸ“¦ 4.6K Β· πŸ“‹ 730 - 44% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 160K / month): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 170K / month): ``` pip install hvplot ``` @@ -1116,7 +1180,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 110K / month): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 120K / month): ``` pip install bqplot ``` @@ -1129,25 +1193,9 @@ _General-purpose and task-specific data visualization libraries._ npm install bqplot ```
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AutoViz (πŸ₯‰29 Β· ⭐ 1.6K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 - -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 190 Β· πŸ“¦ 630 Β· πŸ“‹ 86 - 2% open Β· ⏱️ 14.02.2024): - - ``` - git clone https://github.com/AutoViML/AutoViz - ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 100K / month Β· πŸ“¦ 7 Β· ⏱️ 14.02.2024): - ``` - pip install autoviz - ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 47K Β· ⏱️ 16.02.2024): - ``` - conda install -c conda-forge autoviz - ``` -
data-validation (πŸ₯‰29 Β· ⭐ 750) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 160 Β· πŸ“₯ 640 Β· πŸ“¦ 830 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 160 Β· πŸ“₯ 640 Β· πŸ“¦ 840 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/tensorflow/data-validation @@ -1164,35 +1212,35 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 180K / month): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 280K / month): ``` pip install facets-overview ```
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UMAP (πŸ₯‰27 Β· ⭐ 6.8K) - Uniform Manifold Approximation and Projection. BSD-3 +
AutoViz (πŸ₯‰28 Β· ⭐ 1.6K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 730 Β· πŸ“¦ 1 Β· πŸ“‹ 760 - 56% open Β· ⏱️ 12.02.2024): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 190 Β· πŸ“¦ 640 Β· πŸ“‹ 86 - 2% open Β· ⏱️ 14.02.2024): ``` - git clone https://github.com/lmcinnes/umap + git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 770K / month): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 100K / month Β· πŸ“¦ 7 Β· ⏱️ 14.02.2024): ``` - pip install umap-learn + pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.3M Β· ⏱️ 04.02.2024): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 47K Β· ⏱️ 16.02.2024): ``` - conda install -c conda-forge umap-learn + conda install -c conda-forge autoviz ```
Chartify (πŸ₯‰27 Β· ⭐ 3.5K) - Python library that makes it easy for data scientists to create.. Apache-2 -- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 310 Β· πŸ“¦ 76 Β· πŸ“‹ 80 - 60% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 310 Β· πŸ“¦ 76 Β· πŸ“‹ 75 - 57% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 8.9K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 11K / month): ``` pip install chartify ``` @@ -1203,44 +1251,28 @@ _General-purpose and task-specific data visualization libraries._
Sweetviz (πŸ₯‰27 Β· ⭐ 2.8K) - Visualize and compare datasets, target values and associations, with one.. MIT -- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 260 Β· πŸ“¦ 2.1K Β· πŸ“‹ 130 - 25% open Β· ⏱️ 29.11.2023): +- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 260 Β· πŸ“¦ 2.1K Β· πŸ“‹ 130 - 26% open Β· ⏱️ 29.11.2023): ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 73K / month): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 77K / month Β· πŸ“¦ 20 Β· ⏱️ 29.11.2023): ``` pip install sweetviz ``` -- [Conda](https://anaconda.org/conda-forge/sweetviz) (πŸ“₯ 27K Β· ⏱️ 04.12.2023): +- [Conda](https://anaconda.org/conda-forge/sweetviz) (πŸ“₯ 28K Β· ⏱️ 04.12.2023): ``` conda install -c conda-forge sweetviz ```
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Plotly-Resampler (πŸ₯‰27 Β· ⭐ 910) - Visualize large time series data with plotly.py. MIT - -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 60 Β· πŸ“¦ 900 Β· πŸ“‹ 150 - 28% open Β· ⏱️ 05.02.2024): - - ``` - git clone https://github.com/predict-idlab/plotly-resampler - ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 390K / month Β· πŸ“¦ 11 Β· ⏱️ 14.01.2024): - ``` - pip install plotly-resampler - ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 35K Β· ⏱️ 23.01.2024): - ``` - conda install -c conda-forge plotly-resampler - ``` -
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openTSNE (πŸ₯‰26 Β· ⭐ 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3 +
openTSNE (πŸ₯‰27 Β· ⭐ 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 750 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 29.11.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 750 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 30K / month Β· πŸ“¦ 18 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 29K / month): ``` pip install opentsne ``` @@ -1249,20 +1281,20 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge opentsne ```
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HiPlot (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT +
Plotly-Resampler (πŸ₯‰27 Β· ⭐ 910) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 380 Β· πŸ“‹ 91 - 19% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 59 Β· πŸ“¦ 900 Β· πŸ“‹ 160 - 27% open Β· ⏱️ 12.03.2024): ``` - git clone https://github.com/facebookresearch/hiplot + git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 16K / month Β· πŸ“¦ 15 Β· ⏱️ 05.07.2022): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 380K / month Β· πŸ“¦ 11 Β· ⏱️ 14.01.2024): ``` - pip install hiplot + pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 180K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 35K Β· ⏱️ 23.01.2024): ``` - conda install -c conda-forge hiplot + conda install -c conda-forge plotly-resampler ```
Multicore-TSNE (πŸ₯‰24 Β· ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 @@ -1272,7 +1304,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.1K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` @@ -1288,7 +1320,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 56K / month Β· πŸ“¦ 27 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 57K / month Β· πŸ“¦ 27 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1304,11 +1336,27 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 24K / month): +- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 25K / month Β· πŸ“¦ 12 Β· ⏱️ 11.04.2021): ``` pip install pandas-bokeh ```
+
HiPlot (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT + +- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 3 Β· πŸ“‹ 89 - 17% open Β· ⏱️ 19.07.2023): + + ``` + git clone https://github.com/facebookresearch/hiplot + ``` +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 18K / month): + ``` + pip install hiplot + ``` +- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 180K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge hiplot + ``` +
Popmon (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT - [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 35 Β· πŸ“₯ 140 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 27% open Β· ⏱️ 18.07.2023): @@ -1316,7 +1364,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): ``` pip install popmon ``` @@ -1328,7 +1376,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 28K / month): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 24K / month): ``` pip install vega ``` @@ -1355,33 +1403,33 @@ _General-purpose and task-specific data visualization libraries._
ivis (πŸ₯‰18 Β· ⭐ 310) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 -- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 42 Β· πŸ“¦ 31 Β· πŸ“‹ 59 - 5% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 42 Β· πŸ“¦ 31 Β· πŸ“‹ 60 - 6% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 410 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 470 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): ``` pip install ivis ```
Show 15 hidden projects... -- VisPy (πŸ₯ˆ33 Β· ⭐ 3.2K) - High-performance interactive 2D/3D data visualization library. ❗Unlicensed +- PyQtGraph (πŸ₯ˆ34 Β· ⭐ 3.6K) - Fast data visualization and GUI tools for scientific /.. ❗Unlicensed - missingno (πŸ₯‰30 Β· ⭐ 3.8K Β· πŸ’€) - Missing data visualization module for Python. MIT - Cufflinks (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - HyperTools (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT - pythreejs (πŸ₯‰24 Β· ⭐ 920 Β· πŸ’€) - A Jupyter - Three.js bridge. ❗Unlicensed -- PandasGUI (πŸ₯‰22 Β· ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0 +- PandasGUI (πŸ₯‰23 Β· ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0 - joypy (πŸ₯‰21 Β· ⭐ 530 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - vegafusion (πŸ₯‰21 Β· ⭐ 280) - Serverside scaling for Vega and Altair visualizations. BSD-3 - pivottablejs (πŸ₯‰20 Β· ⭐ 640 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. ❗Unlicensed -- PyWaffle (πŸ₯‰20 Β· ⭐ 570 Β· πŸ’€) - Make Waffle Charts in Python. MIT +- PyWaffle (πŸ₯‰19 Β· ⭐ 570 Β· πŸ’€) - Make Waffle Charts in Python. MIT - animatplot (πŸ₯‰18 Β· ⭐ 400 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT -- data-describe (πŸ₯‰13 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data.. ❗Unlicensed -- nptsne (πŸ₯‰13 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 +- data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (πŸ₯‰12 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT +- nptsne (πŸ₯‰10 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1393,12 +1441,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡50 Β· ⭐ 120K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.5K Β· πŸ”€ 23K Β· πŸ“¦ 140K Β· πŸ“‹ 14K - 5% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.5K Β· πŸ”€ 24K Β· πŸ“¦ 150K Β· πŸ“‹ 15K - 7% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 22M / month): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 22M / month Β· πŸ“¦ 3K Β· ⏱️ 01.03.2024): ``` pip install transformers ``` @@ -1414,7 +1462,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6.4M / month Β· πŸ“¦ 3K Β· ⏱️ 15.02.2024): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6.5M / month Β· πŸ“¦ 3K Β· ⏱️ 15.02.2024): ``` pip install spacy ``` @@ -1430,7 +1478,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 16M / month Β· πŸ“¦ 13K Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 17M / month Β· πŸ“¦ 13K Β· ⏱️ 20.07.2023): ``` pip install nltk ``` @@ -1453,7 +1501,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sentence-transformers (πŸ₯‡40 Β· ⭐ 13K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2.3K Β· πŸ“¦ 26K Β· πŸ“‹ 1.9K - 52% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2.3K Β· πŸ“¦ 27K Β· πŸ“‹ 1.9K - 52% open Β· ⏱️ 01.03.2024): ``` git clone https://github.com/UKPLab/sentence-transformers @@ -1469,12 +1517,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
gensim (πŸ₯‡39 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.4K Β· πŸ“₯ 4.6K Β· πŸ“¦ 56K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 08.02.2024): +- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.4K Β· πŸ“₯ 4.6K Β· πŸ“¦ 57K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 08.02.2024): ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4.5M / month Β· πŸ“¦ 3.2K Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4.7M / month Β· πŸ“¦ 3.2K Β· ⏱️ 24.08.2023): ``` pip install gensim ``` @@ -1483,26 +1531,42 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge gensim ```
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litellm (πŸ₯‡39 Β· ⭐ 5.9K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s +
flair (πŸ₯‡39 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 590 Β· πŸ“¦ 1K Β· πŸ“‹ 1.7K - 21% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.2K - 2% open Β· ⏱️ 06.03.2024): + + ``` + git clone https://github.com/flairNLP/flair + ``` +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 130K / month Β· πŸ“¦ 97 Β· ⏱️ 18.12.2023): + ``` + pip install flair + ``` +- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 23K Β· ⏱️ 05.01.2024): + ``` + conda install -c conda-forge python-flair + ``` +
+
litellm (πŸ₯‡39 Β· ⭐ 6.1K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s + +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 620 Β· πŸ“₯ 8 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 21% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 350K / month Β· πŸ“¦ 74 Β· ⏱️ 07.03.2024): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 390K / month Β· πŸ“¦ 77 Β· ⏱️ 14.03.2024): ``` pip install litellm ```
sentencepiece (πŸ₯‡38 Β· ⭐ 9.2K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.1K Β· πŸ“₯ 35K Β· πŸ“¦ 57K Β· πŸ“‹ 710 - 3% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.1K Β· πŸ“₯ 35K Β· πŸ“¦ 58K Β· πŸ“‹ 720 - 4% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 14M / month): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 15M / month Β· πŸ“¦ 1K Β· ⏱️ 19.02.2024): ``` pip install sentencepiece ``` @@ -1513,12 +1577,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Tokenizers (πŸ₯‡38 Β· ⭐ 8.2K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 670 Β· πŸ“₯ 42 Β· πŸ“¦ 64K Β· πŸ“‹ 890 - 16% open Β· ⏱️ 13.02.2024): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 690 Β· πŸ“₯ 47 Β· πŸ“¦ 65K Β· πŸ“‹ 940 - 19% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 19M / month): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 19M / month Β· πŸ“¦ 410 Β· ⏱️ 12.02.2024): ``` pip install tokenizers ``` @@ -1529,12 +1593,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fairseq (πŸ₯‡36 Β· ⭐ 29K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.3K Β· πŸ“₯ 330 Β· πŸ“¦ 2.8K Β· πŸ“‹ 4.2K - 28% open Β· ⏱️ 26.02.2024): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.3K Β· πŸ“₯ 330 Β· πŸ“¦ 2.8K Β· πŸ“‹ 4.2K - 28% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 290K / month Β· πŸ“¦ 75 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 300K / month Β· πŸ“¦ 75 Β· ⏱️ 27.06.2022): ``` pip install fairseq ``` @@ -1545,29 +1609,45 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
haystack (πŸ₯‡36 Β· ⭐ 13K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.6K Β· πŸ“₯ 23 Β· πŸ“¦ 140 Β· πŸ“‹ 3.2K - 10% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.6K Β· πŸ“₯ 24 Β· πŸ“¦ 150 Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 3.7K / month Β· πŸ“¦ 87 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 4K / month Β· πŸ“¦ 87 Β· ⏱️ 15.12.2021): ``` pip install haystack ```
NeMo (πŸ₯‡36 Β· ⭐ 9.5K) - NeMo: a framework for generative AI. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2K Β· πŸ“₯ 110K Β· πŸ“¦ 21 Β· πŸ“‹ 2K - 2% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2K Β· πŸ“₯ 110K Β· πŸ“¦ 21 Β· πŸ“‹ 2K - 6% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 56K / month): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 56K / month Β· πŸ“¦ 10 Β· ⏱️ 28.02.2024): ``` pip install nemo-toolkit ```
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spark-nlp (πŸ₯‡36 Β· ⭐ 3.6K Β· πŸ“ˆ) - State of the Art Natural Language Processing. Apache-2 +
TextBlob (πŸ₯‡36 Β· ⭐ 8.9K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT + +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 110 Β· πŸ“¦ 37K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 13.03.2024): + + ``` + git clone https://github.com/sloria/TextBlob + ``` +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 840K / month Β· πŸ“¦ 1.4K Β· ⏱️ 22.10.2021): + ``` + pip install textblob + ``` +- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 240K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge textblob + ``` +
+
spark-nlp (πŸ₯‡36 Β· ⭐ 3.6K) - State of the Art Natural Language Processing. Apache-2 - [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 690 Β· πŸ“¦ 400 Β· πŸ“‹ 860 - 5% open Β· ⏱️ 04.03.2024): @@ -1579,88 +1659,116 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install spark-nlp ```
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TextBlob (πŸ₯ˆ35 Β· ⭐ 8.9K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT +
fastText (πŸ₯ˆ35 Β· ⭐ 25K) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 110 Β· πŸ“¦ 36K Β· πŸ“‹ 260 - 36% open Β· ⏱️ 20.02.2024): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 5.7K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): ``` - git clone https://github.com/sloria/TextBlob + git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 770K / month): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1M / month Β· πŸ“¦ 230 Β· ⏱️ 28.04.2020): ``` - pip install textblob + pip install fasttext ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 240K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 75K Β· ⏱️ 26.09.2023): ``` - conda install -c conda-forge textblob + conda install -c conda-forge fasttext ```
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fastText (πŸ₯ˆ34 Β· ⭐ 25K) - Library for fast text representation and classification. MIT +
TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 4.5K Β· πŸ“¦ 5.7K Β· πŸ“‹ 1.1K - 43% open Β· ⏱️ 20.02.2024): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 320 Β· πŸ“¦ 6.5K Β· πŸ“‹ 330 - 49% open Β· ⏱️ 13.03.2024): ``` - git clone https://github.com/facebookresearch/fastText + git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 930K / month): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6M / month Β· πŸ“¦ 140 Β· ⏱️ 11.03.2024): ``` - pip install fasttext + pip install tensorflow-text ``` -- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 75K Β· ⏱️ 26.09.2023): +
+
stanza (πŸ₯ˆ34 Β· ⭐ 7K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 + +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 870 Β· πŸ“¦ 2.5K Β· πŸ“‹ 860 - 10% open Β· ⏱️ 01.03.2024): + ``` - conda install -c conda-forge fasttext + git clone https://github.com/stanfordnlp/stanza + ``` +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 220K / month Β· πŸ“¦ 96 Β· ⏱️ 01.03.2024): + ``` + pip install stanza + ``` +- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 7.4K Β· ⏱️ 16.06.2023): + ``` + conda install -c stanfordnlp stanza ```
OpenNMT (πŸ₯ˆ34 Β· ⭐ 6.5K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.1K Β· πŸ“¦ 260 Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 26.02.2024): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 260 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 6.4K / month): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 6.4K / month Β· πŸ“¦ 18 Β· ⏱️ 22.02.2024): ``` pip install OpenNMT-py ```
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torchtext (πŸ₯ˆ34 Β· ⭐ 3.4K Β· πŸ“ˆ) - Models, data loaders and abstractions for language.. BSD-3 +
torchtext (πŸ₯ˆ34 Β· ⭐ 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3 - [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 800 Β· πŸ“‹ 830 - 37% open Β· ⏱️ 27.02.2024): ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 530K / month Β· πŸ“¦ 500 Β· ⏱️ 22.02.2024): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 550K / month Β· πŸ“¦ 500 Β· ⏱️ 22.02.2024): ``` pip install torchtext ```
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TensorFlow Text (πŸ₯ˆ34 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 +
rubrix (πŸ₯ˆ33 Β· ⭐ 3K) - Argilla is a collaboration platform for AI engineers and domain experts.. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 320 Β· πŸ“¦ 6.5K Β· πŸ“‹ 330 - 49% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 290 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 13.03.2024): ``` - git clone https://github.com/tensorflow/text + git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 5.7M / month Β· πŸ“¦ 140 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 1.3K / month Β· ⏱️ 24.10.2022): ``` - pip install tensorflow-text + pip install rubrix + ``` +- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 29K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge rubrix ```
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rubrix (πŸ₯ˆ33 Β· ⭐ 3K) - Argilla is a collaboration platform for AI engineers and domain experts.. Apache-2 +
DeepPavlov (πŸ₯ˆ32 Β· ⭐ 6.5K) - An open source library for deep learning end-to-end dialog.. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 290 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 1.1K Β· πŸ“¦ 380 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 13.03.2024): ``` - git clone https://github.com/recognai/rubrix + git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 1.7K / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 9.7K / month Β· πŸ“¦ 7 Β· ⏱️ 13.03.2024): ``` - pip install rubrix + pip install deeppavlov ``` -- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 29K Β· ⏱️ 16.06.2023): +
+
ftfy (πŸ₯ˆ32 Β· ⭐ 3.7K Β· πŸ“ˆ) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 + +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 150 Β· πŸ“¦ 18K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 21.11.2023): + ``` - conda install -c conda-forge rubrix + git clone https://github.com/rspeer/python-ftfy + ``` +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.1M / month Β· πŸ“¦ 660 Β· ⏱️ 21.11.2023): + ``` + pip install ftfy + ``` +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 280K Β· ⏱️ 22.11.2023): + ``` + conda install -c conda-forge ftfy ```
jellyfish (πŸ₯ˆ32 Β· ⭐ 2K) - a python library for doing approximate and phonetic matching of strings. MIT @@ -1670,7 +1778,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.6M / month Β· πŸ“¦ 460 Β· ⏱️ 17.11.2023): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.7M / month Β· πŸ“¦ 460 Β· ⏱️ 17.11.2023): ``` pip install jellyfish ``` @@ -1679,16 +1787,20 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge jellyfish ```
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DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.5K) - An open source library for deep learning end-to-end dialog.. Apache-2 +
Dedupe (πŸ₯ˆ31 Β· ⭐ 3.9K) - A python library for accurate and scalable fuzzy matching, record.. MIT -- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 380 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 27.12.2023): +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 540 Β· πŸ“¦ 320 Β· πŸ“‹ 810 - 9% open Β· ⏱️ 19.12.2023): ``` - git clone https://github.com/deepmipt/DeepPavlov + git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 11K / month): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 84K / month Β· πŸ“¦ 50 Β· ⏱️ 17.02.2023): ``` - pip install deeppavlov + pip install dedupe + ``` +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 43K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge dedupe ```
snowballstemmer (πŸ₯ˆ31 Β· ⭐ 710) - Snowball compiler and stemming algorithms. BSD-3 @@ -1698,7 +1810,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 14M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 15M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): ``` pip install snowballstemmer ``` @@ -1709,40 +1821,36 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ParlAI (πŸ₯ˆ30 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.1K Β· πŸ“¦ 21 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 03.11.2023): ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2.1K / month): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): ``` pip install parlai ```
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Dedupe (πŸ₯ˆ30 Β· ⭐ 3.9K) - A python library for accurate and scalable fuzzy matching, record.. MIT +
SciSpacy (πŸ₯ˆ30 Β· ⭐ 1.6K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 520 Β· πŸ“¦ 320 Β· πŸ“‹ 800 - 8% open Β· ⏱️ 19.12.2023): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 220 Β· πŸ“¦ 850 Β· πŸ“‹ 310 - 9% open Β· ⏱️ 08.03.2024): ``` - git clone https://github.com/dedupeio/dedupe - ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 82K / month): - ``` - pip install dedupe + git clone https://github.com/allenai/scispacy ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 43K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 26K / month Β· πŸ“¦ 31 Β· ⏱️ 08.03.2024): ``` - conda install -c conda-forge dedupe + pip install scispacy ```
Sumy (πŸ₯ˆ29 Β· ⭐ 3.4K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 510 Β· πŸ“¦ 2.5K Β· πŸ“‹ 120 - 15% open Β· ⏱️ 24.02.2024): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 520 Β· πŸ“¦ 2.6K Β· πŸ“‹ 120 - 16% open Β· ⏱️ 24.02.2024): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 99K / month): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 140K / month Β· πŸ“¦ 110 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` @@ -1753,12 +1861,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextDistance (πŸ₯ˆ29 Β· ⭐ 3.3K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 1K Β· πŸ“¦ 5.8K Β· ⏱️ 29.12.2023): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 250 Β· πŸ“₯ 1K Β· πŸ“¦ 5.9K Β· ⏱️ 29.12.2023): ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 630K / month): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 680K / month Β· πŸ“¦ 69 Β· ⏱️ 29.12.2023): ``` pip install textdistance ``` @@ -1769,32 +1877,20 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
qdrant (πŸ₯ˆ28 Β· ⭐ 17K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 1K Β· πŸ“₯ 16K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 1K Β· πŸ“₯ 17K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 07.03.2024): ``` git clone https://github.com/qdrant/qdrant ```
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SciSpacy (πŸ₯ˆ28 Β· ⭐ 1.6K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 - -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 210 Β· πŸ“¦ 850 Β· πŸ“‹ 300 - 8% open Β· ⏱️ 20.10.2023): - - ``` - git clone https://github.com/allenai/scispacy - ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 27K / month): - ``` - pip install scispacy - ``` -
spacy-transformers (πŸ₯ˆ28 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 150 Β· πŸ“¦ 1.5K Β· ⏱️ 19.12.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“¦ 1.5K Β· ⏱️ 19.12.2023): ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 200K / month): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 210K / month Β· πŸ“¦ 45 Β· ⏱️ 19.12.2023): ``` pip install spacy-transformers ``` @@ -1803,26 +1899,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge spacy-transformers ```
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CLTK (πŸ₯ˆ28 Β· ⭐ 810) - The Classical Language Toolkit. MIT +
CLTK (πŸ₯ˆ28 Β· ⭐ 820) - The Classical Language Toolkit. MIT - [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 55 Β· πŸ“¦ 260 Β· πŸ“‹ 560 - 6% open Β· ⏱️ 06.02.2024): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2.3K / month Β· πŸ“¦ 42 Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.8K / month Β· πŸ“¦ 42 Β· ⏱️ 27.12.2023): ``` pip install cltk ```
Ciphey (πŸ₯ˆ27 Β· ⭐ 16K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT -- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 980 Β· πŸ“‹ 320 - 16% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1K Β· πŸ“‹ 330 - 19% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 47K / month): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 54K / month Β· ⏱️ 06.06.2021): ``` pip install ciphey ``` @@ -1831,14 +1927,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we docker pull remnux/ciphey ```
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scattertext (πŸ₯ˆ27 Β· ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2 + +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 510 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 06.03.2024): + + ``` + git clone https://github.com/JasonKessler/scattertext + ``` +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 13K / month Β· πŸ“¦ 11 Β· ⏱️ 06.03.2024): + ``` + pip install scattertext + ``` +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 86K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge scattertext + ``` +
PyTextRank (πŸ₯ˆ27 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 310 Β· πŸ“¦ 580 Β· πŸ“‹ 99 - 7% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 380 Β· πŸ“¦ 590 Β· πŸ“‹ 99 - 7% open Β· ⏱️ 21.02.2024): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 43K / month): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 46K / month Β· πŸ“¦ 17 Β· ⏱️ 21.02.2024): ``` pip install pytextrank ``` @@ -1850,47 +1962,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): ``` pip install openprompt ```
DeepKE (πŸ₯‰26 Β· ⭐ 2.8K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 610 Β· πŸ“¦ 21 Β· πŸ“‹ 390 - 0% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 610 Β· πŸ“¦ 21 Β· πŸ“‹ 400 - 0% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 500 / month): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 420 / month Β· ⏱️ 21.09.2023): ``` pip install deepke ```
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scattertext (πŸ₯‰25 Β· ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2 - -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 500 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 06.03.2024): - - ``` - git clone https://github.com/JasonKessler/scattertext - ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 13K / month): - ``` - pip install scattertext - ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 86K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge scattertext - ``` -
promptsource (πŸ₯‰24 Β· ⭐ 2.4K) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 310 Β· πŸ“¦ 87 Β· πŸ“‹ 160 - 6% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 310 Β· πŸ“¦ 87 Β· πŸ“‹ 200 - 24% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 400 / month): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 420 / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` pip install promptsource ``` @@ -1902,19 +1998,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 5.4K / month): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 6.1K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): ``` pip install pytorch-nlp ```
sense2vec (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - Contextually-keyed word vectors. MIT -- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“₯ 63K Β· πŸ“¦ 330 Β· πŸ“‹ 110 - 19% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“₯ 63K Β· πŸ“¦ 340 Β· πŸ“‹ 110 - 19% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2.4K / month Β· πŸ“¦ 14 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2.6K / month): ``` pip install sense2vec ``` @@ -1925,24 +2021,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
detoxify (πŸ₯‰24 Β· ⭐ 810) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 410K Β· πŸ“¦ 540 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 410K Β· πŸ“¦ 550 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 43K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 40K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): ``` pip install detoxify ```
T5 (πŸ₯‰23 Β· ⭐ 5.8K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 730 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 23.01.2024): +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 740 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 23.01.2024): ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 17K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 19K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install t5 ``` @@ -1954,19 +2050,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 10K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 9.8K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): ``` pip install texthero ```
+
fast-bert (πŸ₯‰23 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 + +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 62% open Β· ⏱️ 30.01.2024): + + ``` + git clone https://github.com/utterworks/fast-bert + ``` +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2024): + ``` + pip install fast-bert + ``` +
Sockeye (πŸ₯‰23 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“₯ 17 Β· πŸ“‹ 310 - 2% open Β· ⏱️ 17.10.2023): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“₯ 18 Β· πŸ“‹ 310 - 2% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): ``` pip install sockeye ``` @@ -1978,7 +2086,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 45K / month Β· πŸ“¦ 23 Β· ⏱️ 12.02.2020): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 40K / month Β· πŸ“¦ 23 Β· ⏱️ 12.02.2020): ``` pip install youtokentome ``` @@ -1994,23 +2102,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.1K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ```
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fast-bert (πŸ₯‰22 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 - -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 330 Β· πŸ“‹ 250 - 62% open Β· ⏱️ 30.01.2024): - - ``` - git clone https://github.com/utterworks/fast-bert - ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.5K / month): - ``` - pip install fast-bert - ``` -
small-text (πŸ₯‰22 Β· ⭐ 520) - Active Learning for Text Classification in Python. MIT - [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 57 Β· πŸ“¦ 27 Β· πŸ“‹ 48 - 29% open Β· ⏱️ 29.12.2023): @@ -2018,7 +2114,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 600 / month Β· ⏱️ 29.12.2023): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 510 / month Β· ⏱️ 29.12.2023): ``` pip install small-text ``` @@ -2034,19 +2130,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 7K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 6.7K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` pip install lightseq ```
UForm (πŸ₯‰20 Β· ⭐ 800) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 44 Β· πŸ“¦ 17 Β· πŸ“‹ 16 - 18% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 44 Β· πŸ“¦ 18 Β· πŸ“‹ 17 - 23% open Β· ⏱️ 23.02.2024): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 23.02.2024): ``` pip install uform ``` @@ -2058,7 +2154,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 100 / month): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 81 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` pip install finetune ``` @@ -2070,14 +2166,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.9K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.8K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): ``` pip install textaugment ```
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OpenNRE (πŸ₯‰19 Β· ⭐ 4.2K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT +
OpenNRE (πŸ₯‰18 Β· ⭐ 4.2K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT -- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 1K Β· πŸ“¦ 3 Β· πŸ“‹ 360 - 3% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 990 Β· πŸ“‹ 360 - 3% open Β· ⏱️ 10.01.2024): ``` git clone https://github.com/thunlp/OpenNRE @@ -2085,79 +2181,76 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextBox (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT -- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 5 Β· πŸ“‹ 72 - 4% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 5 Β· πŸ“‹ 72 - 4% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/RUCAIBox/TextBox ``` -- [PyPi](https://pypi.org/project/textbox) (πŸ“₯ 26 / month Β· ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/textbox) (πŸ“₯ 25 / month Β· ⏱️ 15.04.2021): ``` pip install textbox ```
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VizSeq (πŸ₯‰12 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰15 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 58 Β· πŸ“¦ 9 Β· πŸ“‹ 15 - 40% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 58 Β· πŸ“¦ 9 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 130 / month): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 140 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ```
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Show 49 hidden projects... +
Show 46 hidden projects... -- flair (πŸ₯‡37 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language.. ❗Unlicensed - ChatterBot (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - AllenNLP (πŸ₯ˆ35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 - fuzzywuzzy (πŸ₯ˆ33 Β· ⭐ 9.1K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 -- stanza (πŸ₯ˆ32 Β· ⭐ 7K) - Stanford NLP Python library for tokenization, sentence.. ❗Unlicensed - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.3K Β· πŸ’€) - Data augmentation for NLP. MIT -- GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.5K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 +- GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - english-words (πŸ₯ˆ28 Β· ⭐ 9.9K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense -- ftfy (πŸ₯ˆ28 Β· ⭐ 3.7K Β· πŸ“‰) - Fixes mojibake and other glitches in Unicode text, after the fact. ❗Unlicensed +- langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - vaderSentiment (πŸ₯ˆ27 Β· ⭐ 4.2K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (πŸ₯ˆ27 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - polyglot (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - textacy (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed +- flashtext (πŸ₯‰26 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - FARM (πŸ₯‰26 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 -- flashtext (πŸ₯‰25 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +- underthesea (πŸ₯‰26 Β· ⭐ 1.3K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 +- PyText (πŸ₯‰25 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - Snips NLU (πŸ₯‰25 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT -- underthesea (πŸ₯‰25 Β· ⭐ 1.3K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - whoosh (πŸ₯‰25 Β· ⭐ 520 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause -- textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT -- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed +- MatchZoo (πŸ₯‰24 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - pySBD (πŸ₯‰24 Β· ⭐ 710 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT -- PyText (πŸ₯‰23 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. ❗Unlicensed -- MatchZoo (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 +- stop-words (πŸ₯‰23 Β· ⭐ 150 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 +- DeepMatcher (πŸ₯‰22 Β· ⭐ 5K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 +- textgenrnn (πŸ₯‰22 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network.. ❗Unlicensed - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - jiant (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT -- stop-words (πŸ₯‰22 Β· ⭐ 150 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - NLP Architect (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 +- DELTA (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT -- DELTA (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - numerizer (πŸ₯‰20 Β· ⭐ 210 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT - fastT5 (πŸ₯‰19 Β· ⭐ 530 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 +- NeuroNER (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy +- textpipe (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT - nboost (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 -- DeepMatcher (πŸ₯‰17 Β· ⭐ 530 Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 -- textpipe (πŸ₯‰17 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT -- skift (πŸ₯‰17 Β· ⭐ 240 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT -- NeuroNER (πŸ₯‰16 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT +- skift (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 810 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 +- Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT +- NeuralQA (πŸ₯‰14 Β· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - ONNX-T5 (πŸ₯‰13 Β· ⭐ 240 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 -- NeuralQA (πŸ₯‰13 Β· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT -- textvec (πŸ₯‰13 Β· ⭐ 190) - Text vectorization tool to outperform TFIDF for classification tasks. MIT +- textvec (πŸ₯‰12 Β· ⭐ 190) - Text vectorization tool to outperform TFIDF for classification tasks. MIT - spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 98 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy -- Headliner (πŸ₯‰11 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed

@@ -2169,23 +2262,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.6M Β· πŸ“‹ 3K - 3% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2K Β· πŸ“¦ 1.6M Β· πŸ“‹ 3K - 2% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 88M / month Β· πŸ“¦ 68K Β· ⏱️ 15.10.2023): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 90M / month): ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 36M Β· ⏱️ 03.01.2024): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 37M Β· ⏱️ 03.01.2024): ``` conda install -c conda-forge pillow ```
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 29K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 4.4K Β· πŸ“₯ 6.3M Β· πŸ“¦ 24K Β· πŸ“‹ 840 - 8% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 4.4K Β· πŸ“₯ 6.3M Β· πŸ“¦ 24K Β· πŸ“‹ 840 - 8% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/rwightman/pytorch-image-models @@ -2194,26 +2287,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 120K Β· ⏱️ 21.02.2024): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 130K Β· ⏱️ 21.02.2024): ``` conda install -c conda-forge timm ```
MMDetection (πŸ₯‡39 Β· ⭐ 27K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 8.2K Β· πŸ“¦ 2.2K Β· πŸ“‹ 7.9K - 16% open Β· ⏱️ 05.02.2024): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 9.1K Β· πŸ“¦ 2.3K Β· πŸ“‹ 8.1K - 17% open Β· ⏱️ 05.02.2024): ``` git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 170K / month): +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 180K / month Β· πŸ“¦ 38 Β· ⏱️ 05.01.2024): ``` pip install mmdet ```
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torchvision (πŸ₯‡38 Β· ⭐ 15K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
torchvision (πŸ₯‡38 Β· ⭐ 15K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 6.7K Β· πŸ“₯ 37K Β· πŸ“¦ 21 Β· πŸ“‹ 3.1K - 24% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 6.7K Β· πŸ“₯ 37K Β· πŸ“¦ 21 Β· πŸ“‹ 3.1K - 24% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/pytorch/vision @@ -2222,51 +2315,35 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 990K Β· ⏱️ 26.02.2024): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 1M Β· ⏱️ 26.02.2024): ``` conda install -c conda-forge torchvision ```
Kornia (πŸ₯‡38 Β· ⭐ 9.2K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 900 Β· πŸ“₯ 970 Β· πŸ“¦ 8.7K Β· πŸ“‹ 870 - 27% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 920 Β· πŸ“₯ 980 Β· πŸ“¦ 8.8K Β· πŸ“‹ 890 - 29% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.2M / month): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.3M / month Β· πŸ“¦ 140 Β· ⏱️ 14.03.2024): ``` pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 110K Β· ⏱️ 20.02.2024): +- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 120K Β· ⏱️ 20.02.2024): ``` conda install -c conda-forge kornia ```
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imageio (πŸ₯‡38 Β· ⭐ 1.4K) - Python library for reading and writing image data. BSD-2 - -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“₯ 990 Β· πŸ“¦ 120K Β· πŸ“‹ 590 - 16% open Β· ⏱️ 12.02.2024): - - ``` - git clone https://github.com/imageio/imageio - ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 24M / month Β· πŸ“¦ 3.2K Β· ⏱️ 12.02.2024): - ``` - pip install imageio - ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 6.1M Β· ⏱️ 12.02.2024): - ``` - conda install -c conda-forge imageio - ``` -
-
Albumentations (πŸ₯ˆ37 Β· ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT +
Albumentations (πŸ₯‡37 Β· ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 21K Β· πŸ“‹ 840 - 46% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.6K Β· πŸ“¦ 21K Β· πŸ“‹ 860 - 47% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.3M / month): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.4M / month Β· πŸ“¦ 350 Β· ⏱️ 05.03.2024): ``` pip install albumentations ``` @@ -2275,14 +2352,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge albumentations ```
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MoviePy (πŸ₯ˆ37 Β· ⭐ 12K Β· πŸ’€) - Video editing with Python. MIT +
MoviePy (πŸ₯‡37 Β· ⭐ 12K Β· πŸ’€) - Video editing with Python. MIT - [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 35K Β· πŸ“‹ 1.4K - 26% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 840K / month): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 850K / month): ``` pip install moviepy ``` @@ -2291,128 +2368,144 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge moviepy ```
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opencv-python (πŸ₯ˆ37 Β· ⭐ 4K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
deepface (πŸ₯‡37 Β· ⭐ 9.5K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 830 Β· πŸ“¦ 360K Β· πŸ“‹ 750 - 12% open Β· ⏱️ 31.12.2023): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 1.7K Β· πŸ“¦ 2.7K Β· πŸ“‹ 950 - 0% open Β· ⏱️ 11.03.2024): + + ``` + git clone https://github.com/serengil/deepface + ``` +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 190K / month Β· πŸ“¦ 21 Β· ⏱️ 09.03.2024): + ``` + pip install deepface + ``` +
+
opencv-python (πŸ₯‡37 Β· ⭐ 4.1K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT + +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 760 Β· πŸ“¦ 360K Β· πŸ“‹ 740 - 11% open Β· ⏱️ 31.12.2023): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 13M / month Β· πŸ“¦ 12K Β· ⏱️ 31.12.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 13M / month): ``` pip install opencv-python ```
-
deepface (πŸ₯ˆ36 Β· ⭐ 9.4K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
imageio (πŸ₯‡37 Β· ⭐ 1.4K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 1.7K Β· πŸ“¦ 2.7K Β· πŸ“‹ 920 - 0% open Β· ⏱️ 02.03.2024): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“₯ 1K Β· πŸ“¦ 120K Β· πŸ“‹ 580 - 15% open Β· ⏱️ 12.02.2024): ``` - git clone https://github.com/serengil/deepface + git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 210K / month Β· πŸ“¦ 21 Β· ⏱️ 25.02.2024): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 24M / month): ``` - pip install deepface + pip install imageio + ``` +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 6.1M Β· ⏱️ 12.02.2024): + ``` + conda install -c conda-forge imageio ```
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Wand (πŸ₯ˆ36 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT +
Wand (πŸ₯ˆ35 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 43K Β· πŸ“¦ 18K Β· πŸ“‹ 420 - 5% open Β· ⏱️ 11.02.2024): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 830K / month Β· πŸ“¦ 720 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 850K / month): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 37K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 38K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
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detectron2 (πŸ₯ˆ33 Β· ⭐ 28K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 +
detectron2 (πŸ₯ˆ34 Β· ⭐ 28K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 6.8K Β· πŸ“¦ 1.6K Β· πŸ“‹ 3.4K - 11% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.3K Β· πŸ“¦ 1.7K Β· πŸ“‹ 3.5K - 13% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/facebookresearch/detectron2 ``` -- [PyPi](https://pypi.org/project/detectron2): +- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 6 Β· ⏱️ 06.02.2020): ``` pip install detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 220K Β· ⏱️ 18.01.2024): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 230K Β· ⏱️ 18.01.2024): ``` conda install -c conda-forge detectron2 ```
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PaddleSeg (πŸ₯ˆ32 Β· ⭐ 8.1K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 +
PaddleSeg (πŸ₯ˆ33 Β· ⭐ 8.1K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.1K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.1K Β· πŸ“‹ 2K - 9% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.1K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.4K / month): ``` pip install paddleseg ```
doctr (πŸ₯ˆ31 Β· ⭐ 2.8K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 330 Β· πŸ“₯ 2.5M Β· πŸ“¦ 260 Β· πŸ“‹ 310 - 10% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 330 Β· πŸ“₯ 2.6M Β· πŸ“¦ 260 Β· πŸ“‹ 310 - 10% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 24K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 26K / month): ``` pip install python-doctr ```
lightly (πŸ₯ˆ31 Β· ⭐ 2.7K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 230 Β· πŸ“¦ 220 Β· πŸ“‹ 510 - 19% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 230 Β· πŸ“¦ 220 Β· πŸ“‹ 510 - 19% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 28K / month Β· πŸ“¦ 7 Β· ⏱️ 20.02.2024): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 29K / month Β· πŸ“¦ 7 Β· ⏱️ 13.03.2024): ``` pip install lightly ```
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imageai (πŸ₯ˆ30 Β· ⭐ 8.3K) - A python library built to empower developers to build applications and.. MIT +
ImageHash (πŸ₯ˆ30 Β· ⭐ 3K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.2K Β· πŸ“₯ 910K Β· πŸ“¦ 1.6K Β· πŸ“‹ 760 - 41% open Β· ⏱️ 20.02.2024): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 12K Β· πŸ“‹ 130 - 7% open Β· ⏱️ 24.10.2023): ``` - git clone https://github.com/OlafenwaMoses/ImageAI + git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 6.8K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.5M / month): ``` - pip install imageai + pip install ImageHash ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.9K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge imageai + conda install -c conda-forge imagehash ```
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ImageHash (πŸ₯ˆ30 Β· ⭐ 3K) - A Python Perceptual Image Hashing Module. BSD-2 +
imageai (πŸ₯ˆ29 Β· ⭐ 8.3K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 12K Β· πŸ“‹ 130 - 7% open Β· ⏱️ 24.10.2023): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 910K Β· πŸ“¦ 1.6K Β· πŸ“‹ 740 - 39% open Β· ⏱️ 20.02.2024): ``` - git clone https://github.com/JohannesBuchner/imagehash + git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.5M / month): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 7.3K / month): ``` - pip install ImageHash + pip install imageai ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.9K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge imagehash + conda install -c conda-forge imageai ```
PaddleDetection (πŸ₯ˆ28 Β· ⭐ 12K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 @@ -2422,26 +2515,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 740 / month): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 790 / month): ``` pip install paddledet ```
Face Alignment (πŸ₯ˆ28 Β· ⭐ 6.7K Β· πŸ’€) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 21 Β· πŸ“‹ 310 - 22% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 21 Β· πŸ“‹ 320 - 25% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 63K / month): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 64K / month Β· πŸ“¦ 12 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ```
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sahi (πŸ₯ˆ28 Β· ⭐ 3.4K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT +
facenet-pytorch (πŸ₯ˆ28 Β· ⭐ 4.1K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 510 Β· πŸ“₯ 22K Β· πŸ“¦ 940 Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 820 Β· πŸ“₯ 840K Β· πŸ“¦ 1.6K Β· πŸ“‹ 170 - 37% open Β· ⏱️ 02.11.2023): + + ``` + git clone https://github.com/timesler/facenet-pytorch + ``` +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 56K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): + ``` + pip install facenet-pytorch + ``` +
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sahi (πŸ₯ˆ28 Β· ⭐ 3.5K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT + +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 510 Β· πŸ“₯ 23K Β· πŸ“¦ 940 Β· ⏱️ 10.01.2024): ``` git clone https://github.com/obss/sahi @@ -2457,7 +2562,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
mahotas (πŸ₯ˆ28 Β· ⭐ 820) - Computer Vision in Python. MIT -- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 150 Β· πŸ“¦ 1.2K Β· πŸ“‹ 88 - 26% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 150 Β· πŸ“¦ 1.2K Β· πŸ“‹ 89 - 25% open Β· ⏱️ 08.01.2024): ``` git clone https://github.com/luispedro/mahotas @@ -2478,23 +2583,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 23.12.2023): ``` pip install vit-pytorch ```
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facenet-pytorch (πŸ₯‰27 Β· ⭐ 4K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT - -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 820 Β· πŸ“₯ 810K Β· πŸ“¦ 1.6K Β· πŸ“‹ 170 - 37% open Β· ⏱️ 02.11.2023): - - ``` - git clone https://github.com/timesler/facenet-pytorch - ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 54K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): - ``` - pip install facenet-pytorch - ``` -
vidgear (πŸ₯‰27 Β· ⭐ 3.1K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 - [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 230 Β· πŸ“₯ 1K Β· πŸ“¦ 510 Β· πŸ“‹ 270 - 2% open Β· ⏱️ 10.09.2023): @@ -2514,7 +2607,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 8.7K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): ``` pip install norfair ``` @@ -2526,23 +2619,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 890 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 800 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ```
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Augmentor (πŸ₯‰25 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - -- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 720 Β· πŸ“‹ 210 - 64% open Β· ⏱️ 29.03.2023): - - ``` - git clone https://github.com/mdbloice/Augmentor - ``` -- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 7.5K / month Β· πŸ“¦ 29 Β· ⏱️ 27.04.2022): - ``` - pip install Augmentor - ``` -
pytorchvideo (πŸ₯‰25 Β· ⭐ 3.1K) - A deep learning library for video understanding research. Apache-2 - [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 370 Β· πŸ“‹ 190 - 46% open Β· ⏱️ 03.03.2024): @@ -2550,7 +2631,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 63K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 69K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ``` @@ -2562,7 +2643,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 41K / month Β· πŸ“¦ 50 Β· ⏱️ 04.01.2024): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 40K / month Β· πŸ“¦ 50 Β· ⏱️ 04.01.2024): ``` pip install pyvips ``` @@ -2571,38 +2652,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pyvips ```
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Image Deduplicator (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 +
Augmentor (πŸ₯‰24 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 440 Β· πŸ“¦ 89 Β· πŸ“‹ 120 - 26% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 840 Β· πŸ“¦ 720 Β· πŸ“‹ 190 - 61% open Β· ⏱️ 29.03.2023): ``` - git clone https://github.com/idealo/imagededup + git clone https://github.com/mdbloice/Augmentor ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 20K / month): +- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 8.4K / month): ``` - pip install imagededup + pip install Augmentor ```
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kubric (πŸ₯‰24 Β· ⭐ 2.1K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 +
Image Deduplicator (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 200 Β· πŸ“¦ 3 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 440 Β· πŸ“¦ 89 Β· πŸ“‹ 140 - 35% open Β· ⏱️ 28.04.2023): ``` - git clone https://github.com/google-research/kubric + git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 4.7K / month Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 22K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): ``` - pip install kubric-nightly + pip install imagededup ```
MMF (πŸ₯‰23 Β· ⭐ 5.4K) - A modular framework for vision & language multimodal research from.. BSD-3 -- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 17 Β· πŸ“‹ 650 - 16% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 17 Β· πŸ“‹ 780 - 30% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 1K / month): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 940 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ``` @@ -2614,55 +2695,55 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 220 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 230 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ```
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ffcv (πŸ₯‰22 Β· ⭐ 2.7K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 +
tensorflow-graphics (πŸ₯‰23 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 38 Β· πŸ“‹ 260 - 35% open Β· ⏱️ 21.01.2024): +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 13.03.2024): ``` - git clone https://github.com/libffcv/ffcv + git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 730 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 31K / month Β· πŸ“¦ 9 Β· ⏱️ 03.12.2021): ``` - pip install ffcv + pip install tensorflow-graphics ```
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PySlowFast (πŸ₯‰21 Β· ⭐ 6.2K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
ffcv (πŸ₯‰22 Β· ⭐ 2.7K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 15 Β· πŸ“‹ 650 - 56% open Β· ⏱️ 19.10.2023): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 38 Β· πŸ“‹ 260 - 35% open Β· ⏱️ 21.01.2024): ``` - git clone https://github.com/facebookresearch/SlowFast + git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 22 / month): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 640 / month): ``` - pip install pyslowfast + pip install ffcv ```
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tensorflow-graphics (πŸ₯‰21 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 +
kubric (πŸ₯‰22 Β· ⭐ 2.1K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 180 - 47% open Β· ⏱️ 15.12.2023): +- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 200 Β· πŸ“¦ 3 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 12.03.2024): ``` - git clone https://github.com/tensorflow/graphics + git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 23K / month): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 4.6K / month): ``` - pip install tensorflow-graphics + pip install kubric-nightly ```
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Classy Vision (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT +
Classy Vision (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT -- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“‹ 77 - 16% open Β· ⏱️ 23.03.2023): +- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“‹ 120 - 45% open Β· ⏱️ 23.03.2023): ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 750 / month): +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 780 / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2023): ``` pip install classy_vision ``` @@ -2671,6 +2752,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge classy_vision ```
+
DEβ«ΆTR (πŸ₯‰20 Β· ⭐ 13K) - End-to-End Object Detection with Transformers. Apache-2 + +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 2.2K Β· πŸ“¦ 21 Β· πŸ“‹ 530 - 45% open Β· ⏱️ 12.03.2024): + + ``` + git clone https://github.com/facebookresearch/detr + ``` +
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PySlowFast (πŸ₯‰20 Β· ⭐ 6.2K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 + +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 15 Β· πŸ“‹ 650 - 56% open Β· ⏱️ 19.10.2023): + + ``` + git clone https://github.com/facebookresearch/SlowFast + ``` +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 19 / month): + ``` + pip install pyslowfast + ``` +
pycls (πŸ₯‰19 Β· ⭐ 2.1K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT - [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 17 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 26.08.2023): @@ -2678,14 +2779,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 1.1K / month): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 860 / month): ``` pip install pycls ```
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scenic (πŸ₯‰18 Β· ⭐ 2.8K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 +
scenic (πŸ₯‰18 Β· ⭐ 2.9K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 380 Β· πŸ“‹ 260 - 57% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 390 Β· πŸ“‹ 260 - 57% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/google-research/scenic @@ -2693,42 +2794,41 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Caer (πŸ₯‰17 Β· ⭐ 740 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT -- [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 98 Β· πŸ“₯ 30 Β· πŸ“‹ 15 - 13% open Β· ⏱️ 01.04.2023): +- [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 110 Β· πŸ“₯ 30 Β· πŸ“‹ 15 - 13% open Β· ⏱️ 01.04.2023): ``` git clone https://github.com/jasmcaus/caer ``` -- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 4.4K / month): +- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 4.9K / month Β· πŸ“¦ 2 Β· ⏱️ 13.10.2021): ``` pip install caer ```
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Show 24 hidden projects... +
Show 23 hidden projects... - scikit-image (πŸ₯‡42 Β· ⭐ 5.8K) - Image processing in Python. ❗Unlicensed -- glfw (πŸ₯ˆ37 Β· ⭐ 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- glfw (πŸ₯‡37 Β· ⭐ 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- Face Recognition (πŸ₯ˆ32 Β· ⭐ 51K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT -- PyTorch3D (πŸ₯ˆ32 Β· ⭐ 8.1K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed +- Face Recognition (πŸ₯ˆ33 Β· ⭐ 51K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- PyTorch3D (πŸ₯ˆ32 Β· ⭐ 8.2K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (πŸ₯ˆ31 Β· ⭐ 4.5K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - InsightFace (πŸ₯ˆ30 Β· ⭐ 21K) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed -- GluonCV (πŸ₯ˆ28 Β· ⭐ 5.7K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 +- GluonCV (πŸ₯ˆ29 Β· ⭐ 5.7K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - layout-parser (πŸ₯ˆ28 Β· ⭐ 4.3K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 -- mtcnn (πŸ₯‰27 Β· ⭐ 2.1K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT -- segmentation_models (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT -- Image Super-Resolution (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 +- mtcnn (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT +- Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - The friendly PIL fork. ❗️PIL +- segmentation_models (πŸ₯‰23 Β· ⭐ 4.6K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT +- Image Super-Resolution (πŸ₯‰23 Β· ⭐ 4.4K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT - Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - icevision (πŸ₯‰22 Β· ⭐ 840 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 -- DEβ«ΆTR (πŸ₯‰21 Β· ⭐ 13K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 -- Pillow-SIMD (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - The friendly PIL fork. ❗️PIL - image-match (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 - nude.py (πŸ₯‰20 Β· ⭐ 920 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰20 Β· ⭐ 610 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - solt (πŸ₯‰18 Β· ⭐ 260 Β· πŸ’€) - Streaming over lightweight data transformations. MIT +- Torch Points 3D (πŸ₯‰16 Β· ⭐ 180 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (πŸ₯‰15 Β· ⭐ 190 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface -- Torch Points 3D (πŸ₯‰14 Β· ⭐ 180 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3

@@ -2740,12 +2840,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 14K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 710 Β· πŸ”€ 3.2K Β· πŸ“₯ 65 Β· πŸ“¦ 230K Β· πŸ“‹ 3.3K - 10% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 710 Β· πŸ”€ 3.2K Β· πŸ“₯ 65 Β· πŸ“¦ 230K Β· πŸ“‹ 3.3K - 10% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 47M / month Β· πŸ“¦ 15K Β· ⏱️ 28.10.2023): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 49M / month Β· πŸ“¦ 15K Β· ⏱️ 28.10.2023): ``` pip install networkx ``` @@ -2756,24 +2856,24 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
dgl (πŸ₯‡39 Β· ⭐ 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.9K Β· πŸ“¦ 210 Β· πŸ“‹ 2.7K - 17% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.9K Β· πŸ“¦ 220 Β· πŸ“‹ 2.7K - 17% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 77K / month Β· πŸ“¦ 89 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 79K / month Β· πŸ“¦ 89 Β· ⏱️ 05.03.2024): ``` pip install dgl ```
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PyTorch Geometric (πŸ₯‡38 Β· ⭐ 20K) - Graph Neural Network Library for PyTorch. MIT +
PyTorch Geometric (πŸ₯‡37 Β· ⭐ 20K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.5K - 26% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.5K - 26% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 230K / month Β· πŸ“¦ 150 Β· ⏱️ 16.02.2024): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 250K / month Β· πŸ“¦ 150 Β· ⏱️ 12.03.2024): ``` pip install torch-geometric ``` @@ -2784,16 +2884,28 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pygraphistry (πŸ₯ˆ30 Β· ⭐ 2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 200 Β· πŸ“¦ 110 Β· πŸ“‹ 320 - 51% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 200 Β· πŸ“¦ 110 Β· πŸ“‹ 320 - 51% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.8K / month Β· πŸ“¦ 6 Β· ⏱️ 01.03.2024): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.8K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): ``` pip install graphistry ```
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Spektral (πŸ₯ˆ29 Β· ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT + +- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 270 Β· πŸ“‹ 270 - 24% open Β· ⏱️ 21.01.2024): + + ``` + git clone https://github.com/danielegrattarola/spektral + ``` +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 6.8K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): + ``` + pip install spektral + ``` +
AmpliGraph (πŸ₯ˆ29 Β· ⭐ 2.1K) - Python library for Representation Learning on Knowledge.. Apache-2 - [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“¦ 49 Β· πŸ“‹ 220 - 15% open Β· ⏱️ 28.02.2024): @@ -2801,19 +2913,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 820 / month Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 860 / month Β· ⏱️ 26.02.2024): ``` pip install ampligraph ```
ogb (πŸ₯ˆ29 Β· ⭐ 1.8K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1.4K Β· πŸ“‹ 290 - 6% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1.5K Β· πŸ“‹ 290 - 6% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 51K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 53K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -2822,18 +2934,6 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge ogb ```
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Spektral (πŸ₯ˆ27 Β· ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT - -- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 330 Β· πŸ“¦ 270 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 21.01.2024): - - ``` - git clone https://github.com/danielegrattarola/spektral - ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 7K / month): - ``` - pip install spektral - ``` -
PyKEEN (πŸ₯ˆ27 Β· ⭐ 1.5K) - A Python library for learning and evaluating knowledge graph embeddings. MIT - [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 170 Β· πŸ“₯ 180 Β· πŸ“‹ 560 - 21% open Β· ⏱️ 06.03.2024): @@ -2841,19 +2941,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 5K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 5.2K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): ``` pip install pykeen ```
Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 53 Β· πŸ“‹ 240 - 36% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 54 Β· πŸ“‹ 240 - 36% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): ``` pip install pgl ``` @@ -2865,7 +2965,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 370K / month Β· πŸ“¦ 3 Β· ⏱️ 14.10.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 420K / month Β· πŸ“¦ 3 Β· ⏱️ 14.10.2019): ``` pip install torchbiggraph ``` @@ -2877,19 +2977,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.1K / month Β· πŸ“¦ 3 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.2K / month Β· πŸ“¦ 3 Β· ⏱️ 04.09.2022): ``` pip install torch-geometric-temporal ```
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Node2Vec (πŸ₯‰24 Β· ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT +
Node2Vec (πŸ₯ˆ24 Β· ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 230 Β· πŸ“¦ 560 Β· πŸ“‹ 92 - 5% open Β· ⏱️ 24.12.2023): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 230 Β· πŸ“¦ 570 Β· πŸ“‹ 92 - 5% open Β· ⏱️ 24.12.2023): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 91K / month Β· πŸ“¦ 21 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 94K / month Β· πŸ“¦ 21 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -2898,14 +2998,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ```
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torch-cluster (πŸ₯‰24 Β· ⭐ 750) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
torch-cluster (πŸ₯ˆ24 Β· ⭐ 750) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 130 Β· πŸ“‹ 150 - 20% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 130 Β· πŸ“‹ 160 - 20% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 12K / month Β· πŸ“¦ 45 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 13K / month Β· πŸ“¦ 45 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` @@ -2916,40 +3016,28 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
deepsnap (πŸ₯‰20 Β· ⭐ 520) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 56 Β· πŸ“₯ 10 Β· πŸ“¦ 86 Β· πŸ“‹ 48 - 47% open Β· ⏱️ 11.11.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 56 Β· πŸ“₯ 10 Β· πŸ“¦ 89 Β· πŸ“‹ 48 - 47% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 380 / month): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 390 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ```
GraphGym (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT -- [GitHub](https://github.com/snap-stanford/GraphGym) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 180 Β· πŸ“₯ 32 Β· πŸ“¦ 4 Β· πŸ“‹ 46 - 34% open Β· ⏱️ 14.03.2023): +- [GitHub](https://github.com/snap-stanford/GraphGym) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 180 Β· πŸ“₯ 33 Β· πŸ“¦ 4 Β· πŸ“‹ 46 - 34% open Β· ⏱️ 14.03.2023): ``` git clone https://github.com/snap-stanford/GraphGym ``` -- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 76 / month Β· ⏱️ 24.03.2022): +- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 84 / month Β· ⏱️ 24.03.2022): ``` pip install graphgym ```
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Sematch (πŸ₯‰18 Β· ⭐ 420) - semantic similarity framework for knowledge graph. Apache-2 - -- [GitHub](https://github.com/gsi-upm/sematch) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“¦ 46 Β· πŸ“‹ 34 - 44% open Β· ⏱️ 07.11.2023): - - ``` - git clone https://github.com/gsi-upm/sematch - ``` -- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 270 / month Β· πŸ“¦ 3 Β· ⏱️ 17.04.2017): - ``` - pip install sematch - ``` -
OpenKE (πŸ₯‰17 Β· ⭐ 3.7K) - An Open-Source Package for Knowledge Embedding (KE). MIT - [GitHub](https://github.com/thunlp/OpenKE) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 980 Β· πŸ“‹ 380 - 7% open Β· ⏱️ 10.01.2024): @@ -2965,11 +3053,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 100 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 93 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
+
Sematch (πŸ₯‰16 Β· ⭐ 420) - semantic similarity framework for knowledge graph. Apache-2 + +- [GitHub](https://github.com/gsi-upm/sematch) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“¦ 46 Β· πŸ“‹ 34 - 44% open Β· ⏱️ 07.11.2023): + + ``` + git clone https://github.com/gsi-upm/sematch + ``` +- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 290 / month): + ``` + pip install sematch + ``` +
OpenNE (πŸ₯‰15 Β· ⭐ 1.7K) - An Open-Source Package for Network Embedding (NE). MIT - [GitHub](https://github.com/thunlp/OpenNE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 480 Β· πŸ“‹ 100 - 4% open Β· ⏱️ 10.01.2024): @@ -2992,17 +3092,17 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Show 16 hidden projects... -- igraph (πŸ₯‡35 Β· ⭐ 1.2K) - Python interface for igraph. ❗️GPL-2.0 -- pygal (πŸ₯ˆ28 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- igraph (πŸ₯‡34 Β· ⭐ 1.2K) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ27 Β· ⭐ 2.9K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - Karate Club (πŸ₯ˆ25 Β· ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- pygal (πŸ₯ˆ24 Β· ⭐ 2.6K Β· πŸ“‰) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - DIG (πŸ₯‰23 Β· ⭐ 1.7K) - A library for graph deep learning research. ❗️GPL-3.0 - graph-nets (πŸ₯‰22 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - jraph (πŸ₯‰22 Β· ⭐ 1.3K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 -- graph4nlp (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 +- graph4nlp (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 +- DeepWalk (πŸ₯‰20 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - pyRDF2Vec (πŸ₯‰20 Β· ⭐ 240 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT -- DeepWalk (πŸ₯‰18 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗Unlicensed -- GraphEmbedding (πŸ₯‰16 Β· ⭐ 3.6K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT +- GraphEmbedding (πŸ₯‰17 Β· ⭐ 3.6K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - DeepGraph (πŸ₯‰16 Β· ⭐ 280 Β· πŸ’€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - Euler (πŸ₯‰15 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - ptgnn (πŸ₯‰15 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT @@ -3029,34 +3129,18 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as pip install espnet ```
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speechbrain (πŸ₯‡38 Β· ⭐ 7.5K) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (πŸ₯‡38 Β· ⭐ 7.6K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 14% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 14% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 450K / month Β· πŸ“¦ 31 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 620K / month Β· πŸ“¦ 31 Β· ⏱️ 26.02.2024): ``` pip install speechbrain ```
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Coqui TTS (πŸ₯ˆ34 Β· ⭐ 28K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 - -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.1K Β· πŸ“₯ 2M Β· πŸ“‹ 1K - 6% open Β· ⏱️ 10.02.2024): - - ``` - git clone https://github.com/coqui-ai/TTS - ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 99K / month Β· πŸ“¦ 26 Β· ⏱️ 12.12.2023): - ``` - pip install tts - ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge tts - ``` -
SpeechRecognition (πŸ₯ˆ34 Β· ⭐ 7.9K) - Speech recognition module for Python, supporting several.. BSD-3 - [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 620 - 49% open Β· ⏱️ 06.12.2023): @@ -3064,7 +3148,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 690K / month Β· πŸ“¦ 850 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 710K / month Β· πŸ“¦ 850 Β· ⏱️ 06.12.2023): ``` pip install SpeechRecognition ``` @@ -3080,19 +3164,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 3.5K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 3.4K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2022): ``` pip install magenta ```
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librosa (πŸ₯ˆ33 Β· ⭐ 6.5K) - Python library for audio and music analysis. ISC +
librosa (πŸ₯ˆ33 Β· ⭐ 6.6K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 910 Β· πŸ“‹ 1.2K - 5% open Β· ⏱️ 02.03.2024): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 910 Β· πŸ“‹ 1.2K - 5% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.6M / month Β· πŸ“¦ 1.6K Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1.6K Β· ⏱️ 16.08.2023): ``` pip install librosa ``` @@ -3101,21 +3185,37 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge librosa ```
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torchaudio (πŸ₯ˆ33 Β· ⭐ 2.3K) - Data manipulation and transformation for audio signal.. BSD-2 +
torchaudio (πŸ₯ˆ33 Β· ⭐ 2.4K) - Data manipulation and transformation for audio signal.. BSD-2 - [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 620 Β· πŸ“‹ 920 - 22% open Β· ⏱️ 27.02.2024): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 2.4M / month Β· πŸ“¦ 590 Β· ⏱️ 22.02.2024): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 2.7M / month Β· πŸ“¦ 590 Β· ⏱️ 22.02.2024): ``` pip install torchaudio ```
+
Coqui TTS (πŸ₯ˆ32 Β· ⭐ 28K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 + +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.1K Β· πŸ“₯ 2M Β· πŸ“‹ 1K - 6% open Β· ⏱️ 10.02.2024): + + ``` + git clone https://github.com/coqui-ai/TTS + ``` +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 98K / month Β· πŸ“¦ 26 Β· ⏱️ 12.12.2023): + ``` + pip install tts + ``` +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge tts + ``` +
spleeter (πŸ₯ˆ31 Β· ⭐ 25K Β· πŸ’€) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.7K Β· πŸ“₯ 3M Β· πŸ“¦ 660 Β· πŸ“‹ 790 - 28% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.7K Β· πŸ“₯ 3M Β· πŸ“¦ 670 Β· πŸ“‹ 790 - 28% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/deezer/spleeter @@ -3131,24 +3231,24 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.6K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 440 Β· πŸ“‹ 180 - 27% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 440 Β· πŸ“‹ 180 - 26% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 25K / month Β· πŸ“¦ 6 Β· ⏱️ 24.11.2023): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 30K / month Β· πŸ“¦ 8 Β· ⏱️ 24.11.2023): ``` pip install audiomentations ```
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audioread (πŸ₯ˆ29 Β· ⭐ 470) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT +
audioread (πŸ₯ˆ30 Β· ⭐ 470) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT - [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 110 Β· πŸ“¦ 19K Β· πŸ“‹ 91 - 38% open Β· ⏱️ 15.12.2023): ``` git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 2.1M / month Β· πŸ“¦ 370 Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 2M / month Β· πŸ“¦ 370 Β· ⏱️ 27.09.2023): ``` pip install audioread ``` @@ -3164,7 +3264,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 12K / month Β· πŸ“¦ 20 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 13K / month Β· πŸ“¦ 20 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ``` @@ -3176,12 +3276,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 6K / month Β· πŸ“¦ 14 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 5.9K / month Β· πŸ“¦ 14 Β· ⏱️ 30.01.2024): ``` pip install pvporcupine ```
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tinytag (πŸ₯‰27 Β· ⭐ 660) - Python library for reading audio file metadata, duration of MP3, OGG,.. MIT +
tinytag (πŸ₯‰27 Β· ⭐ 650) - Python library for reading audio file metadata, duration of MP3, OGG,.. MIT - [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 05.03.2024): @@ -3195,56 +3295,56 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Madmom (πŸ₯‰26 Β· ⭐ 1.2K) - Python audio and music signal processing library. BSD-3 -- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 190 Β· πŸ“¦ 400 Β· πŸ“‹ 280 - 23% open Β· ⏱️ 10.09.2023): +- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 190 Β· πŸ“¦ 410 Β· πŸ“‹ 280 - 23% open Β· ⏱️ 10.09.2023): ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.2K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.3K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): ``` pip install madmom ```
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python-soundfile (πŸ₯‰26 Β· ⭐ 650) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
DDSP (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ’€) - DDSP: Differentiable Digital Signal Processing. Apache-2 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 95 Β· πŸ“₯ 17K Β· πŸ“‹ 230 - 42% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 320 Β· πŸ“¦ 50 Β· πŸ“‹ 170 - 26% open Β· ⏱️ 30.06.2023): ``` - git clone https://github.com/bastibe/python-soundfile + git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 2.3M / month Β· πŸ“¦ 310 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` - pip install soundfile + pip install ddsp ``` -- [Conda](https://anaconda.org/anaconda/pysoundfile): +- [Conda](https://anaconda.org/conda-forge/ddsp) (πŸ“₯ 15K Β· ⏱️ 16.06.2023): ``` - conda install -c anaconda pysoundfile + conda install -c conda-forge ddsp ```
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DDSP (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ’€) - DDSP: Differentiable Digital Signal Processing. Apache-2 +
python-soundfile (πŸ₯‰25 Β· ⭐ 650) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 320 Β· πŸ“¦ 50 Β· πŸ“‹ 170 - 26% open Β· ⏱️ 30.06.2023): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 95 Β· πŸ“₯ 17K Β· πŸ“‹ 240 - 42% open Β· ⏱️ 05.01.2024): ``` - git clone https://github.com/magenta/ddsp + git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.4K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 2.6M / month Β· πŸ“¦ 310 Β· ⏱️ 15.02.2023): ``` - pip install ddsp + pip install soundfile ``` -- [Conda](https://anaconda.org/conda-forge/ddsp) (πŸ“₯ 15K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/anaconda/pysoundfile): ``` - conda install -c conda-forge ddsp + conda install -c anaconda pysoundfile ```
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nnAudio (πŸ₯‰22 Β· ⭐ 940) - Audio processing by using pytorch 1D convolution network. MIT +
nnAudio (πŸ₯‰21 Β· ⭐ 940) - Audio processing by using pytorch 1D convolution network. MIT - [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 89 Β· πŸ“¦ 160 Β· πŸ“‹ 62 - 29% open Β· ⏱️ 13.02.2024): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 9.7K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 10K / month): ``` pip install nnAudio ``` @@ -3261,12 +3361,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as - Pydub (πŸ₯‡35 Β· ⭐ 8.2K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - DeepSpeech (πŸ₯ˆ34 Β· ⭐ 24K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- aubio (πŸ₯ˆ29 Β· ⭐ 3.1K) - a library for audio and music analysis. ❗️GPL-3.0 -- Essentia (πŸ₯ˆ29 Β· ⭐ 2.6K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 -- TTS (πŸ₯‰26 Β· ⭐ 8.6K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 +- aubio (πŸ₯‰29 Β· ⭐ 3.1K) - a library for audio and music analysis. ❗️GPL-3.0 +- Essentia (πŸ₯‰29 Β· ⭐ 2.6K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 +- TTS (πŸ₯‰26 Β· ⭐ 8.7K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT +- kapre (πŸ₯‰23 Β· ⭐ 910 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - Dejavu (πŸ₯‰22 Β· ⭐ 6.3K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT -- kapre (πŸ₯‰22 Β· ⭐ 910 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - Julius (πŸ₯‰21 Β· ⭐ 400 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT - TimeSide (πŸ₯‰20 Β· ⭐ 360 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (πŸ₯‰17 Β· ⭐ 220 Β· πŸ’€) - A library for augmenting annotated audio data. ISC @@ -3281,12 +3381,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡43 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 7.2K Β· πŸ“‹ 2.9K - 10% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 7.3K Β· πŸ“‹ 2.9K - 10% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 2.9M / month Β· πŸ“¦ 58 Β· ⏱️ 15.04.2023): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 3.1M / month Β· πŸ“¦ 59 Β· ⏱️ 15.04.2023): ``` pip install pydeck ``` @@ -3294,19 +3394,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 430K / month Β· πŸ“¦ 500 Β· ⏱️ 07.03.2024): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 430K / month Β· πŸ“¦ 500 Β· ⏱️ 13.03.2024): ``` npm install deck.gl ```
GeoPandas (πŸ₯‡40 Β· ⭐ 4.1K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 910 Β· πŸ“₯ 2.5K Β· πŸ“¦ 32K Β· πŸ“‹ 1.6K - 26% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 910 Β· πŸ“₯ 2.5K Β· πŸ“¦ 32K Β· πŸ“‹ 1.6K - 26% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.1M / month Β· πŸ“¦ 1.9K Β· ⏱️ 31.01.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6M / month Β· πŸ“¦ 1.9K Β· ⏱️ 31.01.2024): ``` pip install geopandas ``` @@ -3317,12 +3417,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (πŸ₯‡39 Β· ⭐ 6.6K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.2K Β· πŸ“¦ 35K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.2K Β· πŸ“¦ 35K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 920K / month Β· πŸ“¦ 840 Β· ⏱️ 29.02.2024): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 930K / month Β· πŸ“¦ 840 Β· ⏱️ 29.02.2024): ``` pip install folium ``` @@ -3333,7 +3433,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (πŸ₯ˆ38 Β· ⭐ 3.6K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 550 Β· πŸ“₯ 3.1K Β· πŸ“¦ 63K Β· πŸ“‹ 1.2K - 21% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 550 Β· πŸ“₯ 3.1K Β· πŸ“¦ 64K Β· πŸ“‹ 1.2K - 21% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/shapely/shapely @@ -3342,7 +3442,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 8.9M Β· ⏱️ 19.02.2024): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 9M Β· ⏱️ 19.02.2024): ``` conda install -c conda-forge shapely ``` @@ -3365,23 +3465,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Fiona (πŸ₯ˆ37 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 200 Β· πŸ“¦ 18K Β· πŸ“‹ 770 - 3% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 200 Β· πŸ“¦ 18K Β· πŸ“‹ 780 - 4% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.2M / month): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.1M / month Β· πŸ“¦ 98 Β· ⏱️ 08.03.2024): ``` pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.3M Β· ⏱️ 01.01.2024): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.3M Β· ⏱️ 08.03.2024): ``` conda install -c conda-forge fiona ```
geopy (πŸ₯ˆ35 Β· ⭐ 4.2K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 660 Β· πŸ“₯ 21 Β· πŸ“‹ 280 - 11% open Β· ⏱️ 23.11.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 660 Β· πŸ“₯ 22 Β· πŸ“‹ 280 - 11% open Β· ⏱️ 23.11.2023): ``` git clone https://github.com/geopy/geopy @@ -3402,7 +3502,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.3M / month Β· πŸ“¦ 2.1K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.2M / month Β· πŸ“¦ 2.1K Β· ⏱️ 21.09.2023): ``` pip install pyproj ``` @@ -3413,12 +3513,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (πŸ₯ˆ34 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 7.6K Β· πŸ“‹ 620 - 43% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 7.7K Β· πŸ“‹ 620 - 43% open Β· ⏱️ 01.03.2024): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 130K / month Β· πŸ“¦ 170 Β· ⏱️ 23.01.2024): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 140K / month Β· πŸ“¦ 170 Β· ⏱️ 23.01.2024): ``` pip install ipyleaflet ``` @@ -3426,19 +3526,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 14K / month Β· πŸ“¦ 6 Β· ⏱️ 23.01.2024): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 13K / month Β· πŸ“¦ 6 Β· ⏱️ 23.01.2024): ``` npm install jupyter-leaflet ```
ArcGIS API (πŸ₯‰31 Β· ⭐ 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.1K Β· πŸ“₯ 11K Β· πŸ“¦ 4 Β· πŸ“‹ 680 - 7% open Β· ⏱️ 27.02.2024): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.1K Β· πŸ“₯ 11K Β· πŸ“¦ 4 Β· πŸ“‹ 680 - 8% open Β· ⏱️ 27.02.2024): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 120K / month Β· πŸ“¦ 33 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 130K / month Β· πŸ“¦ 33 Β· ⏱️ 28.02.2024): ``` pip install arcgis ``` @@ -3458,19 +3558,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 780K Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 790K Β· ⏱️ 06.11.2023): ``` conda install -c conda-forge geojson ```
GeoViews (πŸ₯‰29 Β· ⭐ 550) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 73 Β· πŸ“¦ 900 Β· πŸ“‹ 340 - 31% open Β· ⏱️ 29.02.2024): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 73 Β· πŸ“¦ 910 Β· πŸ“‹ 340 - 31% open Β· ⏱️ 29.02.2024): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 9.5K / month Β· πŸ“¦ 40 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 9.2K / month Β· πŸ“¦ 40 Β· ⏱️ 13.02.2024): ``` pip install geoviews ``` @@ -3481,12 +3581,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
PySAL (πŸ₯‰27 Β· ⭐ 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 -- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“‹ 630 - 3% open Β· ⏱️ 31.01.2024): +- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“‹ 630 - 3% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 24K / month Β· πŸ“¦ 39 Β· ⏱️ 31.01.2024): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 22K / month Β· πŸ“¦ 39 Β· ⏱️ 31.01.2024): ``` pip install pysal ``` @@ -3502,7 +3602,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 5.9K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 6.3K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3518,7 +3618,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 100K / month Β· πŸ“¦ 25 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 110K / month Β· πŸ“¦ 25 Β· ⏱️ 11.02.2024): ``` pip install pymap3d ``` @@ -3529,11 +3629,11 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 7 hidden projects... -- Satpy (πŸ₯‰32 Β· ⭐ 980) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 -- Geocoder (πŸ₯‰31 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT -- Sentinelsat (πŸ₯‰26 Β· ⭐ 950) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- Satpy (πŸ₯‰33 Β· ⭐ 990) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Geocoder (πŸ₯‰32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT +- Sentinelsat (πŸ₯‰26 Β· ⭐ 960) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - gmaps (πŸ₯‰24 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 -- Mapbox GL (πŸ₯‰23 Β· ⭐ 650 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT +- Mapbox GL (πŸ₯‰24 Β· ⭐ 650 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - prettymaps (πŸ₯‰22 Β· ⭐ 11K Β· πŸ’€) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - geoplotlib (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT
@@ -3545,9 +3645,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._ -
yfinance (πŸ₯‡40 Β· ⭐ 11K) - Download market data from Yahoo! Finances API. Apache-2 +
yfinance (πŸ₯‡40 Β· ⭐ 12K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.1K Β· πŸ“¦ 34K Β· πŸ“‹ 1.3K - 14% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.1K Β· πŸ“¦ 35K Β· πŸ“‹ 1.3K - 14% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/ranaroussi/yfinance @@ -3568,16 +3668,16 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 82K / month Β· πŸ“¦ 50 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 84K / month Β· πŸ“¦ 50 Β· ⏱️ 02.11.2023): ``` pip install ta ``` -- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 23K Β· ⏱️ 02.11.2023): +- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 24K Β· ⏱️ 02.11.2023): ``` conda install -c conda-forge ta ```
-
bt (πŸ₯ˆ30 Β· ⭐ 2K) - bt - flexible backtesting for Python. MIT +
bt (πŸ₯ˆ29 Β· ⭐ 2K) - bt - flexible backtesting for Python. MIT - [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 430 Β· πŸ“¦ 1.6K Β· πŸ“‹ 340 - 24% open Β· ⏱️ 05.02.2024): @@ -3593,9 +3693,25 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge bt ```
+
ffn (πŸ₯ˆ29 Β· ⭐ 1.7K) - ffn - a financial function library for Python. MIT + +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 430 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 31.12.2023): + + ``` + git clone https://github.com/pmorissette/ffn + ``` +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 150K / month Β· πŸ“¦ 31 Β· ⏱️ 31.12.2023): + ``` + pip install ffn + ``` +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 6.8K Β· ⏱️ 31.12.2023): + ``` + conda install -c conda-forge ffn + ``` +
Qlib (πŸ₯ˆ28 Β· ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.3K Β· πŸ“₯ 390 Β· πŸ“¦ 21 Β· πŸ“‹ 870 - 22% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.4K Β· πŸ“₯ 390 Β· πŸ“¦ 21 Β· πŸ“‹ 870 - 22% open Β· ⏱️ 07.03.2024): ``` git clone https://github.com/microsoft/qlib @@ -3607,12 +3723,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Alpha Vantage (πŸ₯ˆ28 Β· ⭐ 4.1K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 710 Β· πŸ“¦ 490 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 11.11.2023): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 710 Β· πŸ“¦ 500 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 31K / month Β· πŸ“¦ 32 Β· ⏱️ 21.12.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 33K / month Β· πŸ“¦ 32 Β· ⏱️ 21.12.2020): ``` pip install alpha_vantage ``` @@ -3621,25 +3737,9 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge alpha_vantage ```
-
ffn (πŸ₯ˆ28 Β· ⭐ 1.7K) - ffn - a financial function library for Python. MIT - -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 31.12.2023): - - ``` - git clone https://github.com/pmorissette/ffn - ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 150K / month Β· πŸ“¦ 31 Β· ⏱️ 31.12.2023): - ``` - pip install ffn - ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 6.8K Β· ⏱️ 31.12.2023): - ``` - conda install -c conda-forge ffn - ``` -
IB-insync (πŸ₯‰26 Β· ⭐ 2.6K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 610 Β· πŸ“‹ 590 - 3% open Β· ⏱️ 11.12.2023): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 640 Β· πŸ“‹ 590 - 3% open Β· ⏱️ 11.12.2023): ``` git clone https://github.com/erdewit/ib_insync @@ -3672,33 +3772,33 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 730 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 820 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): ``` pip install pyalgotrade ```
-
finmarketpy (πŸ₯‰22 Β· ⭐ 3.3K) - Python library for backtesting trading strategies & analyzing.. Apache-2 +
tf-quant-finance (πŸ₯‰22 Β· ⭐ 4.2K Β· πŸ’€) - High-performance TensorFlow library for quantitative.. Apache-2 -- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 500 Β· πŸ“₯ 51 Β· πŸ“¦ 12 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 01.01.2024): +- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 540 Β· πŸ“‹ 65 - 56% open Β· ⏱️ 15.08.2023): ``` - git clone https://github.com/cuemacro/finmarketpy + git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 210 / month Β· ⏱️ 01.01.2024): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` - pip install finmarketpy + pip install tf-quant-finance ```
-
tf-quant-finance (πŸ₯‰21 Β· ⭐ 4.2K Β· πŸ’€) - High-performance TensorFlow library for quantitative.. Apache-2 +
finmarketpy (πŸ₯‰22 Β· ⭐ 3.3K) - Python library for backtesting trading strategies & analyzing.. Apache-2 -- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 540 Β· πŸ“‹ 65 - 56% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 500 Β· πŸ“₯ 51 Β· πŸ“¦ 12 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 01.01.2024): ``` - git clone https://github.com/google/tf-quant-finance + git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 200 / month Β· ⏱️ 01.01.2024): ``` - pip install tf-quant-finance + pip install finmarketpy ```
FinQuant (πŸ₯‰21 Β· ⭐ 1.2K) - A program for financial portfolio management, analysis and optimisation. MIT @@ -3708,7 +3808,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 510 / month): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 490 / month): ``` pip install FinQuant ``` @@ -3721,11 +3821,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - backtrader (πŸ₯ˆ29 Β· ⭐ 13K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - empyrical (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Alphalens (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 -- TensorTrade (πŸ₯‰26 Β· ⭐ 4.3K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 +- TensorTrade (πŸ₯‰26 Β· ⭐ 4.4K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 - Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - Crypto Signals (πŸ₯‰23 Β· ⭐ 4.7K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - FinTA (πŸ₯‰23 Β· ⭐ 2K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 -- Backtesting.py (πŸ₯‰22 Β· ⭐ 4.6K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- Backtesting.py (πŸ₯‰22 Β· ⭐ 4.7K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - surpriver (πŸ₯‰12 Β· ⭐ 1.7K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰8 Β· ⭐ 140 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0
@@ -3739,16 +3839,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 7.3K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.2K Β· πŸ“₯ 84 Β· πŸ“¦ 2.3K Β· πŸ“‹ 2.2K - 35% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.2K Β· πŸ“₯ 84 Β· πŸ“¦ 2.3K Β· πŸ“‹ 2.2K - 35% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 870K / month Β· πŸ“¦ 62 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 910K / month Β· πŸ“¦ 68 Β· ⏱️ 28.02.2024): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 930K Β· ⏱️ 28.02.2024): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 940K Β· ⏱️ 28.02.2024): ``` conda install -c conda-forge sktime-all-extras ``` @@ -3769,40 +3869,40 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge prophet ```
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Darts (πŸ₯‡33 Β· ⭐ 7.1K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 +
StatsForecast (πŸ₯‡33 Β· ⭐ 3.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 780 Β· πŸ“¦ 540 Β· πŸ“‹ 1.4K - 18% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 230 Β· πŸ“¦ 740 Β· πŸ“‹ 290 - 29% open Β· ⏱️ 08.03.2024): ``` - git clone https://github.com/unit8co/darts - ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 24K / month Β· πŸ“¦ 5 Β· ⏱️ 05.03.2024): - ``` - pip install u8darts + git clone https://github.com/Nixtla/statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 40K Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 570K / month Β· πŸ“¦ 26 Β· ⏱️ 05.02.2024): ``` - conda install -c conda-forge u8darts-all + pip install statsforecast ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 520 Β· ⏱️ 05.03.2024): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 60K Β· ⏱️ 06.02.2024): ``` - docker pull unit8/darts + conda install -c conda-forge statsforecast ```
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StatsForecast (πŸ₯‡33 Β· ⭐ 3.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
Darts (πŸ₯ˆ32 Β· ⭐ 7.1K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 230 Β· πŸ“¦ 730 Β· πŸ“‹ 290 - 29% open Β· ⏱️ 22.02.2024): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 780 Β· πŸ“¦ 540 Β· πŸ“‹ 1.4K - 18% open Β· ⏱️ 12.03.2024): ``` - git clone https://github.com/Nixtla/statsforecast + git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 570K / month Β· πŸ“¦ 26 Β· ⏱️ 05.02.2024): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 24K / month Β· πŸ“¦ 5 Β· ⏱️ 05.03.2024): ``` - pip install statsforecast + pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 60K Β· ⏱️ 06.02.2024): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 40K Β· ⏱️ 06.03.2024): ``` - conda install -c conda-forge statsforecast + conda install -c conda-forge u8darts-all + ``` +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 520 Β· ⏱️ 05.03.2024): + ``` + docker pull unit8/darts ```
NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.6K) - NeuralProphet: A simple forecasting package. MIT @@ -3812,7 +3912,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 94K / month Β· πŸ“¦ 5 Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 100K / month Β· πŸ“¦ 5 Β· ⏱️ 23.02.2024): ``` pip install neuralprophet ``` @@ -3824,7 +3924,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 370K / month Β· πŸ“¦ 49 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 390K / month Β· πŸ“¦ 49 Β· ⏱️ 12.12.2023): ``` pip install tslearn ``` @@ -3840,7 +3940,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.5M / month Β· πŸ“¦ 89 Β· ⏱️ 23.10.2023): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.7M / month): ``` pip install pmdarima ``` @@ -3851,7 +3951,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tsfresh (πŸ₯ˆ31 Β· ⭐ 8K) - Automatic extraction of relevant features from time series:. MIT -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 28.01.2024): +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/blue-yonder/tsfresh @@ -3867,12 +3967,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
STUMPY (πŸ₯ˆ31 Β· ⭐ 2.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 280 Β· πŸ“¦ 660 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 18.02.2024): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 280 Β· πŸ“¦ 670 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 230K / month Β· πŸ“¦ 16 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 240K / month Β· πŸ“¦ 16 Β· ⏱️ 21.08.2023): ``` pip install stumpy ``` @@ -3881,7 +3981,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge stumpy ```
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GluonTS (πŸ₯ˆ30 Β· ⭐ 4.1K) - Probabilistic time series modeling in Python. Apache-2 +
GluonTS (πŸ₯ˆ30 Β· ⭐ 4.2K) - Probabilistic time series modeling in Python. Apache-2 - [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 760 Β· πŸ“‹ 930 - 32% open Β· ⏱️ 04.03.2024): @@ -3899,12 +3999,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pytorch-forecasting (πŸ₯ˆ30 Β· ⭐ 3.5K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 550 Β· πŸ“‹ 750 - 62% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 560 Β· πŸ“‹ 750 - 62% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 72K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 71K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -3913,14 +4013,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pytorch-forecasting ```
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NeuralForecast (πŸ₯ˆ30 Β· ⭐ 2.2K) - Scalable and user friendly neural forecasting algorithms. Apache-2 +
NeuralForecast (πŸ₯ˆ30 Β· ⭐ 2.3K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 260 Β· πŸ“¦ 110 Β· πŸ“‹ 420 - 22% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 260 Β· πŸ“¦ 110 Β· πŸ“‹ 420 - 23% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 32K / month Β· πŸ“¦ 5 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 34K / month Β· πŸ“¦ 5 Β· ⏱️ 05.10.2023): ``` pip install neuralforecast ``` @@ -3929,26 +4029,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge neuralforecast ```
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skforecast (πŸ₯‰27 Β· ⭐ 830) - Time series forecasting with scikit-learn models. BSD-3 +
skforecast (πŸ₯‰27 Β· ⭐ 840) - Time series forecasting with scikit-learn models. BSD-3 -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“¦ 240 Β· πŸ“‹ 120 - 23% open Β· ⏱️ 14.02.2024): +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“¦ 240 Β· πŸ“‹ 120 - 25% open Β· ⏱️ 14.02.2024): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 56K / month Β· πŸ“¦ 8 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 54K / month Β· πŸ“¦ 8 Β· ⏱️ 16.11.2023): ``` pip install skforecast ```
uber/orbit (πŸ₯‰26 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“¦ 47 Β· πŸ“‹ 400 - 14% open Β· ⏱️ 22.01.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 130 Β· πŸ“¦ 49 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 32K / month Β· πŸ“¦ 1 Β· ⏱️ 03.03.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 28K / month Β· πŸ“¦ 1 Β· ⏱️ 14.03.2024): ``` pip install orbit-ml ``` @@ -3964,7 +4064,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 110K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 120K / month): ``` pip install pyts ``` @@ -3975,7 +4075,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
greykite (πŸ₯‰22 Β· ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“₯ 9 Β· πŸ“¦ 27 Β· πŸ“‹ 100 - 25% open Β· ⏱️ 16.01.2024): +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“₯ 15 Β· πŸ“¦ 28 Β· πŸ“‹ 100 - 25% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/linkedin/greykite @@ -3992,31 +4092,31 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 9.5K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): +- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 10K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): ``` pip install luminol ```
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TSFEL (πŸ₯‰22 Β· ⭐ 810) - An intuitive library to extract features from time series. BSD-3 +
TSFEL (πŸ₯‰22 Β· ⭐ 820) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 110 Β· πŸ“‹ 69 - 7% open Β· ⏱️ 24.11.2023): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 120 Β· πŸ“‹ 69 - 7% open Β· ⏱️ 24.11.2023): ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 24K / month Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 23K / month Β· ⏱️ 22.08.2023): ``` pip install tsfel ```
tick (πŸ₯‰22 Β· ⭐ 460 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 -- [GitHub](https://github.com/X-DataInitiative/tick) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 97 Β· πŸ“₯ 300 Β· πŸ“¦ 74 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/X-DataInitiative/tick) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 99 Β· πŸ“₯ 300 Β· πŸ“¦ 74 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 05.03.2023): ``` git clone https://github.com/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 2.3K / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): ``` pip install tick ``` @@ -4028,31 +4128,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 5.8K / month Β· ⏱️ 28.01.2024): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 6K / month Β· ⏱️ 28.01.2024): ``` pip install auto-ts ```
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pydlm (πŸ₯‰19 Β· ⭐ 470) - A python library for Bayesian time series modeling. BSD-3 - -- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 97 Β· πŸ“¦ 33 Β· πŸ“‹ 49 - 75% open Β· ⏱️ 04.09.2023): - - ``` - git clone https://github.com/wwrechard/pydlm - ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 23K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): - ``` - pip install pydlm - ``` -
tsflex (πŸ₯‰19 Β· ⭐ 350) - Flexible time series feature extraction & processing. MIT -- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 24 Β· πŸ“¦ 12 Β· πŸ“‹ 47 - 55% open Β· ⏱️ 14.02.2024): +- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 23 Β· πŸ“¦ 12 Β· πŸ“‹ 47 - 55% open Β· ⏱️ 14.02.2024): ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 430 / month Β· ⏱️ 11.10.2022): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 390 / month Β· ⏱️ 11.10.2022): ``` pip install tsflex ``` @@ -4061,14 +4149,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tsflex ```
+
pydlm (πŸ₯‰18 Β· ⭐ 470) - A python library for Bayesian time series modeling. BSD-3 + +- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 95 Β· πŸ“¦ 33 Β· πŸ“‹ 48 - 75% open Β· ⏱️ 04.09.2023): + + ``` + git clone https://github.com/wwrechard/pydlm + ``` +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 23K / month): + ``` + pip install pydlm + ``` +
Show 8 hidden projects... - Streamz (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Real-time stream processing for python. BSD-3 - PyFlux (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 - seglearn (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 - ADTK (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 -- matrixprofile-ts (πŸ₯‰19 Β· ⭐ 730 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 -- atspy (πŸ₯‰15 Β· ⭐ 500 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT +- matrixprofile-ts (πŸ₯‰17 Β· ⭐ 730 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 +- atspy (πŸ₯‰15 Β· ⭐ 510 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (πŸ₯‰14 Β· ⭐ 330 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 - tslumen (πŸ₯‰8 Β· ⭐ 62 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -4082,7 +4182,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.5K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.6K Β· πŸ“‹ 4.8K - 10% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.6K Β· πŸ“‹ 4.8K - 10% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/mne-tools/mne-python @@ -4096,30 +4196,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge mne ```
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MONAI (πŸ₯‡36 Β· ⭐ 5.1K) - AI Toolkit for Healthcare Imaging. Apache-2 - -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 930 Β· πŸ“¦ 1.9K Β· πŸ“‹ 2.9K - 9% open Β· ⏱️ 03.03.2024): - - ``` - git clone https://github.com/Project-MONAI/MONAI - ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 150K / month Β· πŸ“¦ 54 Β· ⏱️ 12.10.2023): - ``` - pip install monai - ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 21K Β· ⏱️ 12.10.2023): - ``` - conda install -c conda-forge monai - ``` -
Nilearn (πŸ₯‡36 Β· ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 540 Β· πŸ“₯ 160 Β· πŸ“¦ 2.9K Β· πŸ“‹ 2K - 14% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 540 Β· πŸ“₯ 160 Β· πŸ“¦ 2.9K Β· πŸ“‹ 2K - 14% open Β· ⏱️ 09.03.2024): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 55K / month Β· πŸ“¦ 300 Β· ⏱️ 29.01.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 60K / month Β· πŸ“¦ 300 Β· ⏱️ 29.01.2024): ``` pip install nilearn ``` @@ -4130,12 +4214,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NiBabel (πŸ₯‡36 Β· ⭐ 610) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 18K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 18K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 450K / month Β· πŸ“¦ 1.2K Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 460K / month Β· πŸ“¦ 1.2K Β· ⏱️ 27.02.2024): ``` pip install nibabel ``` @@ -4144,6 +4228,22 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge nibabel ```
+
MONAI (πŸ₯ˆ35 Β· ⭐ 5.1K) - AI Toolkit for Healthcare Imaging. Apache-2 + +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 940 Β· πŸ“¦ 1.9K Β· πŸ“‹ 2.9K - 9% open Β· ⏱️ 10.03.2024): + + ``` + git clone https://github.com/Project-MONAI/MONAI + ``` +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 150K / month Β· πŸ“¦ 54 Β· ⏱️ 12.10.2023): + ``` + pip install monai + ``` +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 21K Β· ⏱️ 12.10.2023): + ``` + conda install -c conda-forge monai + ``` +
Lifelines (πŸ₯ˆ34 Β· ⭐ 2.3K) - Survival analysis in Python. MIT - [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 580 Β· πŸ“¦ 2.3K Β· πŸ“‹ 950 - 25% open Β· ⏱️ 07.03.2024): @@ -4151,23 +4251,23 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 490K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 480K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): ``` pip install lifelines ``` -- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 310K Β· ⏱️ 13.09.2023): +- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 320K Β· ⏱️ 13.09.2023): ``` conda install -c conda-forge lifelines ```
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NIPYPE (πŸ₯ˆ34 Β· ⭐ 720) - Workflows and interfaces for neuroimaging packages. Apache-2 +
NIPYPE (πŸ₯ˆ34 Β· ⭐ 730) - Workflows and interfaces for neuroimaging packages. Apache-2 - [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 510 Β· πŸ“¦ 4.1K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 04.03.2024): ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 130K / month Β· πŸ“¦ 180 Β· ⏱️ 06.04.2023): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 140K / month Β· πŸ“¦ 180 Β· ⏱️ 06.04.2023): ``` pip install nipype ``` @@ -4178,24 +4278,24 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ32 Β· ⭐ 920) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 120 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 120 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 59K / month Β· πŸ“¦ 18 Β· ⏱️ 20.02.2024): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 51K / month Β· πŸ“¦ 18 Β· ⏱️ 20.02.2024): ``` pip install hail ```
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DeepVariant (πŸ₯‰24 Β· ⭐ 3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 +
DeepVariant (πŸ₯‰25 Β· ⭐ 3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 680 Β· πŸ“₯ 4.7K Β· πŸ“‹ 720 - 1% open Β· ⏱️ 09.12.2023): +- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 680 Β· πŸ“₯ 4.7K Β· πŸ“‹ 730 - 1% open Β· ⏱️ 09.12.2023): ``` git clone https://github.com/google/deepvariant ``` -- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 62K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 63K Β· ⏱️ 16.06.2023): ``` conda install -c bioconda deepvariant ``` @@ -4207,7 +4307,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 140 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` @@ -4221,7 +4321,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic - DIPY (πŸ₯ˆ33 Β· ⭐ 660) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. ❗Unlicensed - NiftyNet (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - NIPY (πŸ₯‰25 Β· ⭐ 370) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed -- Glow (πŸ₯‰24 Β· ⭐ 260) - An open-source toolkit for large-scale genomic analysis. Apache-2 +- Glow (πŸ₯‰25 Β· ⭐ 260) - An open-source toolkit for large-scale genomic analysis. Apache-2 - MedPy (πŸ₯‰23 Β· ⭐ 540) - Medical image processing in Python. ❗️GPL-3.0 - DLTK (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Medical Detection Toolkit (πŸ₯‰15 Β· ⭐ 1.3K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 @@ -4237,14 +4337,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic _Libraries for processing tabular and structured data._ -
pytorch_tabular (πŸ₯‰21 Β· ⭐ 1.2K) - A standard framework for modelling Deep Learning Models.. MIT +
pytorch_tabular (πŸ₯‡23 Β· ⭐ 1.2K) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“₯ 24 Β· πŸ“‹ 140 - 9% open Β· ⏱️ 04.02.2024): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 130 Β· πŸ“₯ 24 Β· πŸ“‹ 140 - 7% open Β· ⏱️ 10.03.2024): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 4K / month Β· πŸ“¦ 2 Β· ⏱️ 15.01.2024): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 3.4K / month Β· πŸ“¦ 2 Β· ⏱️ 15.01.2024): ``` pip install pytorch_tabular ``` @@ -4256,15 +4356,15 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 340 / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 430 / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ```
Show 3 hidden projects... -- miceforest (πŸ₯‡22 Β· ⭐ 280) - Multiple Imputation with LightGBM in Python. MIT -- upgini (πŸ₯‡22 Β· ⭐ 280) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 +- miceforest (πŸ₯ˆ22 Β· ⭐ 280) - Multiple Imputation with LightGBM in Python. MIT +- upgini (πŸ₯‰21 Β· ⭐ 280) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 - deltapy (πŸ₯‰12 Β· ⭐ 520 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

@@ -4282,31 +4382,31 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 200K / month): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 210K / month): ``` pip install paddleocr ```
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EasyOCR (πŸ₯‡35 Β· ⭐ 21K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
EasyOCR (πŸ₯‡34 Β· ⭐ 21K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 9.3M Β· πŸ“¦ 5.4K Β· πŸ“‹ 920 - 36% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 9.4M Β· πŸ“¦ 5.5K Β· πŸ“‹ 940 - 38% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 270K / month): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 220K / month Β· πŸ“¦ 100 Β· ⏱️ 04.09.2023): ``` pip install easyocr ```
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OCRmyPDF (πŸ₯ˆ34 Β· ⭐ 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
OCRmyPDF (πŸ₯‡34 Β· ⭐ 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 850 Β· πŸ“₯ 2.4K Β· πŸ“¦ 750 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 22.02.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 850 Β· πŸ“₯ 2.5K Β· πŸ“¦ 760 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 76K / month): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 80K / month Β· πŸ“¦ 21 Β· ⏱️ 16.02.2024): ``` pip install ocrmypdf ``` @@ -4315,14 +4415,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge ocrmypdf ```
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tesserocr (πŸ₯ˆ30 Β· ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT +
tesserocr (πŸ₯ˆ31 Β· ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 130 Β· πŸ“¦ 940 Β· πŸ“‹ 270 - 18% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 130 Β· πŸ“¦ 950 Β· πŸ“‹ 270 - 18% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 54K / month): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 59K / month): ``` pip install tesserocr ``` @@ -4338,7 +4438,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.8M / month): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.9M / month): ``` pip install pytesseract ``` @@ -4349,30 +4449,42 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
MMOCR (πŸ₯‰27 Β· ⭐ 4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 710 Β· πŸ“¦ 110 Β· πŸ“‹ 870 - 15% open Β· ⏱️ 01.09.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 720 Β· πŸ“¦ 120 Β· πŸ“‹ 900 - 18% open Β· ⏱️ 01.09.2023): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.1K / month): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.2K / month Β· πŸ“¦ 3 Β· ⏱️ 05.05.2022): ``` pip install mmocr ```
keras-ocr (πŸ₯‰23 Β· ⭐ 1.3K) - A packaged and flexible version of the CRAFT text detector and.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 310 Β· πŸ“₯ 910K Β· πŸ“¦ 430 Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 310 Β· πŸ“₯ 930K Β· πŸ“¦ 440 Β· ⏱️ 06.11.2023): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 22K / month): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 20K / month): ``` pip install keras-ocr ``` - [Conda](https://anaconda.org/anaconda/keras-ocr) (πŸ“₯ 310 Β· ⏱️ 16.06.2023): ``` - conda install -c anaconda keras-ocr + conda install -c anaconda keras-ocr + ``` +
+
calamari (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Line based ATR Engine based on OCRopy. Apache-2 + +- [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 210 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 18.08.2023): + + ``` + git clone https://github.com/Calamari-OCR/calamari + ``` +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): + ``` + pip install calamari_ocr ```
attention-ocr (πŸ₯‰21 Β· ⭐ 1K) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT @@ -4382,27 +4494,15 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 210 / month): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 210 / month Β· ⏱️ 19.04.2019): ``` pip install aocr ```
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calamari (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - Line based ATR Engine based on OCRopy. Apache-2 - -- [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 210 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 18.08.2023): - - ``` - git clone https://github.com/Calamari-OCR/calamari - ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.7K / month): - ``` - pip install calamari_ocr - ``` -
Show 3 hidden projects... -- pdftabextract (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 -- doc2text (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT +- doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT +- pdftabextract (πŸ₯‰19 Β· ⭐ 2.2K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 - Mozart (πŸ₯‰10 Β· ⭐ 560 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2

@@ -4453,46 +4553,46 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._ -
dask (πŸ₯‡45 Β· ⭐ 12K) - Parallel computing with task scheduling. BSD-3 +
Ray (πŸ₯‡44 Β· ⭐ 30K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 1.7K Β· πŸ“¦ 58K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 5.1K Β· πŸ“₯ 210 Β· πŸ“¦ 14K Β· πŸ“‹ 17K - 20% open Β· ⏱️ 14.03.2024): ``` - git clone https://github.com/dask/dask + git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7.3M / month Β· πŸ“¦ 3.2K Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 3.4M / month Β· πŸ“¦ 480 Β· ⏱️ 22.02.2024): ``` - pip install dask + pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 26.02.2024): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 190K Β· ⏱️ 07.03.2024): ``` - conda install -c conda-forge dask + conda install -c conda-forge ray-tune ```
-
Ray (πŸ₯‡44 Β· ⭐ 30K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 +
dask (πŸ₯‡44 Β· ⭐ 12K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 5.1K Β· πŸ“₯ 210 Β· πŸ“¦ 14K Β· πŸ“‹ 17K - 20% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 1.7K Β· πŸ“¦ 58K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 13.03.2024): ``` - git clone https://github.com/ray-project/ray + git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 3.4M / month Β· πŸ“¦ 480 Β· ⏱️ 22.02.2024): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7.2M / month Β· πŸ“¦ 3.2K Β· ⏱️ 12.03.2024): ``` - pip install ray + pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 190K Β· ⏱️ 07.03.2024): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 13.03.2024): ``` - conda install -c conda-forge ray-tune + conda install -c conda-forge dask ```
DeepSpeed (πŸ₯‡42 Β· ⭐ 32K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.7K Β· πŸ“¦ 6K Β· πŸ“‹ 2.5K - 38% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.7K Β· πŸ“¦ 6.1K Β· πŸ“‹ 2.5K - 38% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 450K / month Β· πŸ“¦ 100 Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 480K / month Β· πŸ“¦ 100 Β· ⏱️ 08.03.2024): ``` pip install deepspeed ``` @@ -4503,28 +4603,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 33K Β· πŸ“‹ 3.8K - 39% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 33K Β· πŸ“‹ 3.8K - 39% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.8M / month Β· πŸ“¦ 1.3K Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.6M / month Β· πŸ“¦ 1.3K Β· ⏱️ 12.03.2024): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 13M Β· ⏱️ 26.02.2024): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 13M Β· ⏱️ 12.03.2024): ``` conda install -c conda-forge distributed ```
BigDL (πŸ₯ˆ37 Β· ⭐ 4.8K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.1K Β· πŸ“₯ 260 Β· πŸ“¦ 49 Β· πŸ“‹ 2.3K - 41% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.1K Β· πŸ“₯ 270 Β· πŸ“¦ 49 Β· πŸ“‹ 2.4K - 42% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 17K / month Β· πŸ“¦ 1 Β· ⏱️ 07.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 20K / month Β· πŸ“¦ 1 Β· ⏱️ 14.03.2024): ``` pip install bigdl ``` @@ -4537,14 +4637,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ```
-
metrics (πŸ₯ˆ36 Β· ⭐ 1.8K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 +
metrics (πŸ₯ˆ36 Β· ⭐ 1.9K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 350 Β· πŸ“₯ 4.8K Β· πŸ“¦ 21K Β· πŸ“‹ 790 - 8% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 360 Β· πŸ“₯ 4.9K Β· πŸ“¦ 22K Β· πŸ“‹ 790 - 8% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 2.9K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 3K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` @@ -4560,26 +4660,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 73K / month Β· πŸ“¦ 37 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 71K / month Β· πŸ“¦ 37 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.7K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.3K - 29% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.3K - 29% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 380K / month Β· πŸ“¦ 85 Β· ⏱️ 20.12.2023): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 370K / month Β· πŸ“¦ 85 Β· ⏱️ 14.03.2024): ``` pip install h2o ```
ColossalAI (πŸ₯ˆ33 Β· ⭐ 37K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.2K Β· πŸ“¦ 300 Β· πŸ“‹ 1.6K - 24% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.1K Β· πŸ“¦ 300 Β· πŸ“‹ 1.5K - 22% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/hpcaitech/colossalai @@ -4592,7 +4692,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 470K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 490K / month): ``` pip install fairscale ``` @@ -4603,12 +4703,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (πŸ₯ˆ30 Β· ⭐ 740) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“‹ 150 - 7% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“‹ 150 - 7% open Β· ⏱️ 10.03.2024): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 390K / month Β· πŸ“¦ 750 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 400K / month Β· πŸ“¦ 760 Β· ⏱️ 04.10.2023): ``` pip install mpi4py ``` @@ -4617,32 +4717,32 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge mpi4py ```
-
SynapseML (πŸ₯ˆ29 Β· ⭐ 4.9K) - Simple and Distributed Machine Learning. MIT +
dask-ml (πŸ₯ˆ29 Β· ⭐ 880) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 28.02.2024): +- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 250 Β· πŸ“¦ 980 Β· πŸ“‹ 530 - 51% open Β· ⏱️ 07.03.2024): ``` - git clone https://github.com/microsoft/SynapseML + git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 150K / month Β· πŸ“¦ 3 Β· ⏱️ 27.11.2023): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 440K / month Β· πŸ“¦ 75 Β· ⏱️ 24.03.2023): ``` - pip install synapseml + pip install dask-ml + ``` +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 810K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge dask-ml ```
-
dask-ml (πŸ₯ˆ29 Β· ⭐ 880) - Scalable Machine Learning with Dask. BSD-3 +
SynapseML (πŸ₯‰28 Β· ⭐ 4.9K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 250 Β· πŸ“¦ 970 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 790 Β· πŸ“‹ 700 - 43% open Β· ⏱️ 11.03.2024): ``` - git clone https://github.com/dask/dask-ml - ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 470K / month Β· πŸ“¦ 75 Β· ⏱️ 24.03.2023): - ``` - pip install dask-ml + git clone https://github.com/microsoft/SynapseML ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 800K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 170K / month): ``` - conda install -c conda-forge dask-ml + pip install synapseml ```
TensorFlowOnSpark (πŸ₯‰27 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 @@ -4652,7 +4752,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 950K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 1M / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -4663,24 +4763,24 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
petastorm (πŸ₯‰26 Β· ⭐ 1.7K) - Petastorm library enables single machine or distributed training.. Apache-2 -- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 280 Β· πŸ“₯ 430 Β· πŸ“¦ 150 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 02.12.2023): +- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 280 Β· πŸ“₯ 460 Β· πŸ“¦ 150 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 02.12.2023): ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 35K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 36K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): ``` pip install petastorm ```
Submit it (πŸ₯‰26 Β· ⭐ 1.1K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 2.2K Β· πŸ“‹ 110 - 32% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 2.3K Β· πŸ“‹ 110 - 32% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 270K / month Β· πŸ“¦ 20 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 280K / month Β· πŸ“¦ 20 Β· ⏱️ 09.11.2023): ``` pip install submitit ``` @@ -4689,14 +4789,30 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge submitit ```
+
Apache Singa (πŸ₯‰24 Β· ⭐ 3.1K) - a distributed deep learning platform. Apache-2 + +- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.1K Β· πŸ“¦ 3 Β· πŸ“‹ 120 - 41% open Β· ⏱️ 11.03.2024): + + ``` + git clone https://github.com/apache/singa + ``` +- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 740 Β· ⏱️ 16.06.2023): + ``` + conda install -c nusdbsystem singa + ``` +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 6.3K Β· ⭐ 4 Β· ⏱️ 31.05.2022): + ``` + docker pull apache/singa + ``` +
Hivemind (πŸ₯‰24 Β· ⭐ 1.8K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT -- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 130 Β· πŸ“¦ 92 Β· πŸ“‹ 170 - 39% open Β· ⏱️ 04.12.2023): +- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 130 Β· πŸ“¦ 93 Β· πŸ“‹ 170 - 39% open Β· ⏱️ 04.12.2023): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4.8K / month Β· πŸ“¦ 7 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4.9K / month Β· πŸ“¦ 7 Β· ⏱️ 31.08.2023): ``` pip install hivemind ``` @@ -4708,14 +4824,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 23K / month Β· πŸ“¦ 30 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 24K / month Β· πŸ“¦ 30 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
MMLSpark (πŸ₯‰22 Β· ⭐ 4.9K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 28.02.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/microsoft/SynapseML @@ -4725,59 +4841,32 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install mmlspark ```
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Apache Singa (πŸ₯‰22 Β· ⭐ 3.1K) - a distributed deep learning platform. Apache-2 - -- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 1.1K Β· πŸ“¦ 3 Β· πŸ“‹ 120 - 41% open Β· ⏱️ 05.11.2023): - - ``` - git clone https://github.com/apache/singa - ``` -- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 740 Β· ⏱️ 16.06.2023): - ``` - conda install -c nusdbsystem singa - ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 6.2K Β· ⭐ 4 Β· ⏱️ 31.05.2022): - ``` - docker pull apache/singa - ``` -
-
analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K) - A unified Data Analytics and AI platform for.. Apache-2 +
launchpad (πŸ₯‰21 Β· ⭐ 300 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 -- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 05.03.2024): - - ``` - git clone https://github.com/intel-analytics/analytics-zoo - ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 2.8K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): - ``` - pip install analytics-zoo - ``` -
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launchpad (πŸ₯‰21 Β· ⭐ 310 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 - -- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 88 Β· πŸ“‹ 39 - 46% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 89 Β· πŸ“‹ 39 - 46% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ```
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Show 14 hidden projects... +
Show 15 hidden projects... - DEAP (πŸ₯ˆ33 Β· ⭐ 5.5K Β· πŸ’€) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ30 Β· ⭐ 2.5K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - Elephas (πŸ₯ˆ29 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras +- sk-dist (πŸ₯‰21 Β· ⭐ 290 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (πŸ₯‰21 Β· ⭐ 260) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT -- BytePS (πŸ₯‰20 Β· ⭐ 3.5K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 +- BytePS (πŸ₯‰20 Β· ⭐ 3.6K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 - TensorFrames (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 -- sk-dist (πŸ₯‰20 Β· ⭐ 290 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.2K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (πŸ₯‰17 Β· ⭐ 740 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 +- analytics-zoo (πŸ₯‰16 Β· ⭐ 3 Β· πŸ“‰) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 - LazyCluster (πŸ₯‰13 Β· ⭐ 50 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - autodist (πŸ₯‰11 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 - moolib (πŸ₯‰10 Β· ⭐ 360 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT @@ -4792,12 +4881,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (πŸ₯‡34 Β· ⭐ 2.9K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 350 Β· πŸ“¦ 880 Β· πŸ“‹ 460 - 12% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 360 Β· πŸ“¦ 890 Β· πŸ“‹ 480 - 14% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 180K / month): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 190K / month Β· πŸ“¦ 47 Β· ⏱️ 27.02.2024): ``` pip install botorch ``` @@ -4808,12 +4897,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡34 Β· ⭐ 2.2K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 280 Β· πŸ“¦ 660 Β· πŸ“‹ 680 - 12% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 280 Β· πŸ“¦ 670 Β· πŸ“‹ 680 - 12% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 140K / month Β· πŸ“¦ 29 Β· ⏱️ 01.03.2024): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 160K / month Β· πŸ“¦ 29 Β· ⏱️ 01.03.2024): ``` pip install ax-platform ``` @@ -4829,35 +4918,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 15K / month Β· πŸ“¦ 38 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 16K / month Β· πŸ“¦ 38 Β· ⏱️ 14.09.2023): ``` pip install nni ```
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Hyperopt (πŸ₯‡33 Β· ⭐ 7K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 - -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.1K Β· πŸ“¦ 14K Β· πŸ“‹ 660 - 37% open Β· ⏱️ 29.09.2023): - - ``` - git clone https://github.com/hyperopt/hyperopt - ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.1M / month Β· πŸ“¦ 510 Β· ⏱️ 17.11.2021): - ``` - pip install hyperopt - ``` -- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 750K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge hyperopt - ``` -
featuretools (πŸ₯‡33 Β· ⭐ 7K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 830 Β· πŸ“¦ 1.6K Β· πŸ“‹ 990 - 16% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 860 Β· πŸ“¦ 1.6K Β· πŸ“‹ 990 - 17% open Β· ⏱️ 04.03.2024): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 52K / month): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 53K / month Β· πŸ“¦ 78 Β· ⏱️ 26.02.2024): ``` pip install featuretools ``` @@ -4866,18 +4939,34 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge featuretools ```
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AutoKeras (πŸ₯ˆ31 Β· ⭐ 9K) - AutoML library for deep learning. Apache-2 +
AutoKeras (πŸ₯ˆ32 Β· ⭐ 9.1K) - AutoML library for deep learning. Apache-2 - [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 18K Β· πŸ“¦ 640 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 02.10.2023): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 15K / month Β· πŸ“¦ 13 Β· ⏱️ 28.01.2023): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 16K / month Β· πŸ“¦ 13 Β· ⏱️ 28.01.2023): ``` pip install autokeras ```
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Hyperopt (πŸ₯ˆ32 Β· ⭐ 7K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 + +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.1K Β· πŸ“¦ 14K Β· πŸ“‹ 660 - 37% open Β· ⏱️ 13.03.2024): + + ``` + git clone https://github.com/hyperopt/hyperopt + ``` +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.2M / month Β· πŸ“¦ 510 Β· ⏱️ 17.11.2021): + ``` + pip install hyperopt + ``` +- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 750K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge hyperopt + ``` +
Bayesian Optimization (πŸ₯ˆ31 Β· ⭐ 7.4K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.4K Β· πŸ“‹ 330 - 3% open Β· ⏱️ 06.03.2024): @@ -4885,23 +4974,23 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 290K / month Β· πŸ“¦ 120 Β· ⏱️ 25.04.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 310K / month Β· πŸ“¦ 120 Β· ⏱️ 25.04.2023): ``` pip install bayesian-optimization ```
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AutoGluon (πŸ₯ˆ31 Β· ⭐ 6.9K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 +
AutoGluon (πŸ₯ˆ31 Β· ⭐ 7K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“¦ 2 Β· πŸ“‹ 1.2K - 26% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 830 Β· πŸ“¦ 2 Β· πŸ“‹ 1.2K - 26% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 130K / month Β· πŸ“¦ 8 Β· ⏱️ 07.03.2024): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 130K / month Β· πŸ“¦ 8 Β· ⏱️ 14.03.2024): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 7K Β· ⭐ 17 Β· ⏱️ 07.03.2024): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 7.1K Β· ⭐ 17 Β· ⏱️ 07.03.2024): ``` docker pull autogluon/autogluon ``` @@ -4929,7 +5018,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 180K / month Β· πŸ“¦ 66 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 190K / month Β· πŸ“¦ 66 Β· ⏱️ 04.03.2024): ``` pip install keras-tuner ``` @@ -4938,7 +5027,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge keras-tuner ```
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auto-sklearn (πŸ₯ˆ30 Β· ⭐ 7.3K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 +
auto-sklearn (πŸ₯ˆ30 Β· ⭐ 7.4K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 - [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.3K Β· πŸ“₯ 51 Β· πŸ“¦ 550 Β· πŸ“‹ 1K - 18% open Β· ⏱️ 18.04.2023): @@ -4956,102 +5045,102 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
mljar-supervised (πŸ₯ˆ29 Β· ⭐ 2.9K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 380 Β· πŸ“¦ 100 Β· πŸ“‹ 620 - 22% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 380 Β· πŸ“¦ 110 Β· πŸ“‹ 620 - 22% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 3.8K / month Β· πŸ“¦ 2 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 4K / month Β· πŸ“¦ 2 Β· ⏱️ 08.03.2024): ``` pip install mljar-supervised ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 13K Β· ⏱️ 06.03.2024): +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 13K Β· ⏱️ 08.03.2024): ``` conda install -c conda-forge mljar-supervised ```
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FEDOT (πŸ₯ˆ24 Β· ⭐ 590) - Automated modeling and machine learning framework FEDOT. BSD-3 +
FEDOT (πŸ₯ˆ25 Β· ⭐ 590) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 80 Β· πŸ“¦ 44 Β· πŸ“‹ 520 - 16% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 81 Β· πŸ“¦ 44 Β· πŸ“‹ 530 - 17% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 980 / month Β· πŸ“¦ 3 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 05.03.2024): ``` pip install fedot ```
featurewiz (πŸ₯ˆ24 Β· ⭐ 530) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 85 Β· πŸ“¦ 65 Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 85 Β· πŸ“¦ 65 Β· πŸ“‹ 86 - 1% open Β· ⏱️ 10.02.2024): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 16K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): ``` pip install featurewiz ```
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igel (πŸ₯‰20 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT +
Hyperactive (πŸ₯‰21 Β· ⭐ 490) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/nidhaloff/igel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 170 Β· πŸ“₯ 40 Β· πŸ“¦ 4 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 08.04.2023): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 41 Β· πŸ“₯ 130 Β· πŸ“¦ 27 Β· πŸ“‹ 61 - 14% open Β· ⏱️ 15.12.2023): ``` - git clone https://github.com/nidhaloff/igel + git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 280 / month Β· ⏱️ 19.11.2021): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.5K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): ``` - pip install igel + pip install hyperactive ```
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AlphaPy (πŸ₯‰20 Β· ⭐ 1K) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 +
igel (πŸ₯‰20 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT -- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 190 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/nidhaloff/igel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 170 Β· πŸ“₯ 40 Β· πŸ“¦ 4 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 08.04.2023): ``` - git clone https://github.com/ScottfreeLLC/AlphaPy + git clone https://github.com/nidhaloff/igel ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 210 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 220 / month Β· ⏱️ 19.11.2021): ``` - pip install alphapy + pip install igel ```
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Auto ViML (πŸ₯‰20 Β· ⭐ 490) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 +
AlphaPy (πŸ₯‰19 Β· ⭐ 1K) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 96 Β· πŸ“¦ 24 Β· πŸ“‹ 34 - 8% open Β· ⏱️ 03.12.2023): +- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 190 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 10.02.2024): ``` - git clone https://github.com/AutoViML/Auto_ViML + git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 150 / month Β· ⏱️ 29.08.2020): ``` - pip install autoviml + pip install alphapy ```
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Hyperactive (πŸ₯‰20 Β· ⭐ 480) - An optimization and data collection toolbox for convenient and fast.. MIT +
shap-hypetune (πŸ₯‰19 Β· ⭐ 520) - A python package for simultaneous Hyperparameters Tuning and.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 41 Β· πŸ“₯ 130 Β· πŸ“¦ 27 Β· πŸ“‹ 61 - 14% open Β· ⏱️ 15.12.2023): +- [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 67 Β· πŸ“¦ 15 Β· πŸ“‹ 29 - 3% open Β· ⏱️ 21.02.2024): ``` - git clone https://github.com/SimonBlanke/Hyperactive + git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.4K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.8K / month): ``` - pip install hyperactive + pip install shap-hypetune ```
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shap-hypetune (πŸ₯‰19 Β· ⭐ 520) - A python package for simultaneous Hyperparameters Tuning and.. MIT +
Auto ViML (πŸ₯‰19 Β· ⭐ 490) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 68 Β· πŸ“¦ 15 Β· πŸ“‹ 32 - 12% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 96 Β· πŸ“¦ 24 Β· πŸ“‹ 34 - 8% open Β· ⏱️ 03.12.2023): ``` - git clone https://github.com/cerlymarco/shap-hypetune + git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 970 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): ``` - pip install shap-hypetune + pip install autoviml ```
opytimizer (πŸ₯‰17 Β· ⭐ 590) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 @@ -5061,7 +5150,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 250 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 200 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ``` @@ -5069,30 +5158,30 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Show 32 hidden projects... - Optuna (πŸ₯‡39 Β· ⭐ 9.4K) - A hyperparameter optimization framework. ❗Unlicensed -- TPOT (πŸ₯‡33 Β· ⭐ 9.4K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 -- scikit-optimize (πŸ₯ˆ31 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 +- TPOT (πŸ₯‡33 Β· ⭐ 9.5K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 +- scikit-optimize (πŸ₯ˆ32 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 - lazypredict (πŸ₯ˆ27 Β· ⭐ 2.6K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - SMAC3 (πŸ₯ˆ25 Β· ⭐ 980) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (πŸ₯ˆ25 Β· ⭐ 910 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 +- Talos (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT - AdaNet (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT +- sklearn-deap (πŸ₯‰22 Β· ⭐ 760 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT +- Test Tube (πŸ₯‰22 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - HpBandSter (πŸ₯‰22 Β· ⭐ 600 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - Orion (πŸ₯‰22 Β· ⭐ 280) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 -- Talos (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT -- sklearn-deap (πŸ₯‰21 Β· ⭐ 760 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT +- MLBox (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Neuraxle (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - optunity (πŸ₯‰21 Β· ⭐ 420 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 - lightwood (πŸ₯‰21 Β· ⭐ 410) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 -- MLBox (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗Unlicensed - Dragonfly (πŸ₯‰19 Β· ⭐ 830 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT -- Test Tube (πŸ₯‰19 Β· ⭐ 730 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - Auto Tune Models (πŸ₯‰18 Β· ⭐ 520 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰18 Β· ⭐ 330 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (πŸ₯‰17 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 -- HyperparameterHunter (πŸ₯‰17 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (πŸ₯‰17 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - Xcessiv (πŸ₯‰16 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 +- HyperparameterHunter (πŸ₯‰16 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - automl-gs (πŸ₯‰15 Β· ⭐ 1.8K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT - ENAS (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰13 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 @@ -5109,9 +5198,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc _Libraries for building and evaluating reinforcement learning & agent-based systems._ -
FinRL (πŸ₯‡30 Β· ⭐ 8.8K) - FinRL: Financial Reinforcement Learning. MIT +
FinRL (πŸ₯‡30 Β· ⭐ 8.9K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 34 Β· πŸ“‹ 670 - 29% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 36 Β· πŸ“‹ 680 - 29% open Β· ⏱️ 06.03.2024): ``` git clone https://github.com/AI4Finance-Foundation/FinRL @@ -5121,56 +5210,56 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install finrl ```
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TF-Agents (πŸ₯‡29 Β· ⭐ 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 +
TF-Agents (πŸ₯‡30 Β· ⭐ 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 - [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 650 - 28% open Β· ⏱️ 14.02.2024): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 57K / month Β· πŸ“¦ 9 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 89K / month Β· πŸ“¦ 9 Β· ⏱️ 14.12.2023): ``` pip install tf-agents ```
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ViZDoom (πŸ₯ˆ28 Β· ⭐ 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. MIT +
ViZDoom (πŸ₯‡30 Β· ⭐ 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. MIT -- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 370 Β· πŸ“₯ 12K Β· πŸ“‹ 460 - 8% open Β· ⏱️ 13.02.2024): +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 370 Β· πŸ“₯ 12K Β· πŸ“¦ 230 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 13.02.2024): ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1.4K / month Β· πŸ“¦ 18 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1.2K / month Β· πŸ“¦ 18 Β· ⏱️ 16.12.2023): ``` pip install vizdoom ```
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Dopamine (πŸ₯ˆ27 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 +
Acme (πŸ₯ˆ28 Β· ⭐ 3.3K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 27.11.2023): +- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 190 Β· πŸ“‹ 260 - 22% open Β· ⏱️ 11.03.2024): ``` - git clone https://github.com/google/dopamine + git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 26K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.6K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` - pip install dopamine-rl + pip install dm-acme + ``` +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8.1K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge dm-acme ```
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Acme (πŸ₯ˆ27 Β· ⭐ 3.3K) - A library of reinforcement learning components and agents. Apache-2 +
Dopamine (πŸ₯ˆ27 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 -- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 190 Β· πŸ“‹ 260 - 22% open Β· ⏱️ 03.01.2024): +- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 27.11.2023): ``` - git clone https://github.com/deepmind/acme - ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): - ``` - pip install dm-acme + git clone https://github.com/google/dopamine ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8.1K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 27K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): ``` - conda install -c conda-forge dm-acme + pip install dopamine-rl ```
TensorForce (πŸ₯‰26 Β· ⭐ 3.3K Β· πŸ’€) - Tensorforce: a TensorFlow library for applied.. Apache-2 @@ -5180,7 +5269,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 740 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ``` @@ -5199,12 +5288,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
ReAgent (πŸ₯‰24 Β· ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 28 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 24 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ``` @@ -5216,7 +5305,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 730 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 810 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -5228,7 +5317,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 400 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 380 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -5275,19 +5364,19 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 74K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 80K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): ``` pip install recommenders ```
torchrec (πŸ₯‡30 Β· ⭐ 1.7K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 340 Β· πŸ“¦ 90 Β· πŸ“‹ 130 - 22% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 340 Β· πŸ“¦ 92 Β· πŸ“‹ 290 - 65% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 1.8K / month): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 1.6K / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ``` @@ -5310,12 +5399,12 @@ _Libraries for building and evaluating recommendation systems._
implicit (πŸ₯ˆ29 Β· ⭐ 3.4K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 700 Β· πŸ“¦ 1.3K Β· πŸ“‹ 480 - 16% open Β· ⏱️ 21.11.2023): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 710 Β· πŸ“¦ 1.3K Β· πŸ“‹ 480 - 16% open Β· ⏱️ 21.11.2023): ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 160K / month Β· πŸ“¦ 40 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 150K / month Β· πŸ“¦ 40 Β· ⏱️ 29.09.2023): ``` pip install implicit ``` @@ -5331,14 +5420,14 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 520K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 540K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ```
Cornac (πŸ₯ˆ28 Β· ⭐ 790) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 200 Β· πŸ“‹ 140 - 7% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“¦ 200 Β· πŸ“‹ 140 - 7% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/PreferredAI/cornac @@ -5347,47 +5436,47 @@ _Libraries for building and evaluating recommendation systems._ ``` pip install cornac ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 350K Β· ⏱️ 05.03.2024): +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 360K Β· ⏱️ 05.03.2024): ``` conda install -c conda-forge cornac ```
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RecBole (πŸ₯‰26 Β· ⭐ 3.1K) - A unified, comprehensive and efficient recommendation library. MIT +
TF Ranking (πŸ₯ˆ27 Β· ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 560 Β· πŸ“‹ 900 - 23% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 470 Β· πŸ“‹ 320 - 25% open Β· ⏱️ 09.03.2024): ``` - git clone https://github.com/RUCAIBox/RecBole - ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.3K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): - ``` - pip install recbole + git clone https://github.com/tensorflow/ranking ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 4.5K Β· ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 120K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): ``` - conda install -c aibox recbole + pip install tensorflow_ranking ```
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TF Ranking (πŸ₯‰26 Β· ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 +
RecBole (πŸ₯‰26 Β· ⭐ 3.1K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 470 Β· πŸ“‹ 320 - 25% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 570 Β· πŸ“‹ 900 - 23% open Β· ⏱️ 11.03.2024): ``` - git clone https://github.com/tensorflow/ranking + git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 120K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.6K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` - pip install tensorflow_ranking + pip install recbole + ``` +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 4.5K Β· ⏱️ 01.11.2023): + ``` + conda install -c aibox recbole ```
recmetrics (πŸ₯‰21 Β· ⭐ 550) - A library of metrics for evaluating recommender systems. MIT -- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 97 Β· πŸ“₯ 5 Β· πŸ“¦ 49 Β· πŸ“‹ 28 - 46% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 97 Β· πŸ“₯ 5 Β· πŸ“¦ 50 Β· πŸ“‹ 28 - 46% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` -- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 14K / month Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 16K / month Β· ⏱️ 26.04.2022): ``` pip install recmetrics ``` @@ -5400,8 +5489,8 @@ _Libraries for building and evaluating recommendation systems._ - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - Deep recommender models using PyTorch. MIT - Case Recommender (πŸ₯‰18 Β· ⭐ 450 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT -- OpenRec (πŸ₯‰16 Β· ⭐ 410 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 - Collie (πŸ₯‰16 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3 +- OpenRec (πŸ₯‰15 Β· ⭐ 410 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2

@@ -5413,24 +5502,24 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (πŸ₯‡37 Β· ⭐ 9.2K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 2K Β· πŸ“₯ 2.4K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 12K / month Β· πŸ“¦ 5 Β· ⏱️ 20.02.2024): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 12K / month Β· πŸ“¦ 5 Β· ⏱️ 14.03.2024): ``` pip install syft ```
Opacus (πŸ₯ˆ31 Β· ⭐ 1.6K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 310 Β· πŸ“₯ 110 Β· πŸ“¦ 740 Β· πŸ“‹ 280 - 25% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 310 Β· πŸ“₯ 110 Β· πŸ“¦ 750 Β· πŸ“‹ 280 - 25% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 110K / month Β· πŸ“¦ 20 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 120K / month Β· πŸ“¦ 20 Β· ⏱️ 11.02.2024): ``` pip install opacus ``` @@ -5441,7 +5530,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
FATE (πŸ₯ˆ28 Β· ⭐ 5.4K) - An Industrial Grade Federated Learning Framework. Apache-2 -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.9K - 43% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.9K - 43% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/FederatedAI/FATE @@ -5451,26 +5540,26 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l pip install ETAF ```
-
TensorFlow Privacy (πŸ₯‰27 Β· ⭐ 1.9K) - Library for training machine learning models with.. Apache-2 +
TensorFlow Privacy (πŸ₯‰26 Β· ⭐ 1.9K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 450 Β· πŸ“₯ 140 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 16.02.2024): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 450 Β· πŸ“₯ 150 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 16.02.2024): ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 15K / month Β· πŸ“¦ 15 Β· ⏱️ 14.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 16K / month Β· πŸ“¦ 15 Β· ⏱️ 14.02.2024): ``` pip install tensorflow-privacy ```
CrypTen (πŸ₯‰24 Β· ⭐ 1.4K) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 290 Β· πŸ“¦ 33 Β· πŸ“‹ 260 - 26% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 290 Β· πŸ“¦ 33 Β· πŸ“‹ 260 - 26% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 300 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 330 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5490,28 +5579,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 17K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 710 Β· πŸ”€ 3.9K Β· πŸ“¦ 31K Β· πŸ“‹ 3.7K - 36% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 710 Β· πŸ”€ 3.9K Β· πŸ“¦ 32K Β· πŸ“‹ 3.7K - 36% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 15M / month Β· πŸ“¦ 560 Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 15M / month Β· πŸ“¦ 570 Β· ⏱️ 06.03.2024): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.8M Β· ⏱️ 07.03.2024): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.8M Β· ⏱️ 08.03.2024): ``` conda install -c conda-forge mlflow ```
Tensorboard (πŸ₯‡44 Β· ⭐ 6.5K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 220K Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 220K Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 26M / month Β· πŸ“¦ 3K Β· ⏱️ 16.02.2024): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 27M / month Β· πŸ“¦ 3K Β· ⏱️ 16.02.2024): ``` pip install tensorboard ``` @@ -5522,28 +5611,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (πŸ₯‡41 Β· ⭐ 13K) - ML Experiments Management with Git. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 43K Β· πŸ“¦ 13K Β· πŸ“‹ 4.6K - 7% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 43K Β· πŸ“¦ 14K Β· πŸ“‹ 4.6K - 6% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 630K / month Β· πŸ“¦ 95 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 540K / month Β· πŸ“¦ 95 Β· ⏱️ 11.03.2024): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.8M Β· ⏱️ 04.03.2024): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.8M Β· ⏱️ 11.03.2024): ``` conda install -c conda-forge dvc ```
wandb client (πŸ₯‡41 Β· ⭐ 8K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 590 Β· πŸ“¦ 40K Β· πŸ“‹ 3K - 28% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 590 Β· πŸ“¦ 40K Β· πŸ“‹ 3K - 28% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 12M / month Β· πŸ“¦ 750 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 13M / month Β· πŸ“¦ 750 Β· ⏱️ 05.03.2024): ``` pip install wandb ``` @@ -5554,7 +5643,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
SageMaker SDK (πŸ₯ˆ39 Β· ⭐ 2K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.7K Β· πŸ“‹ 1.4K - 18% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.7K Β· πŸ“‹ 1.4K - 18% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk @@ -5575,39 +5664,39 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 280K / month Β· πŸ“¦ 18 Β· ⏱️ 20.02.2024): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 290K / month Β· πŸ“¦ 18 Β· ⏱️ 20.02.2024): ``` pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 43K Β· ⏱️ 16.11.2023): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 43K Β· ⏱️ 10.03.2024): ``` conda install -c conda-forge pycaret ```
snakemake (πŸ₯ˆ35 Β· ⭐ 2.1K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 500 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.6K - 61% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 500 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.6K - 61% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 210K / month Β· πŸ“¦ 270 Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 150K / month Β· πŸ“¦ 270 Β· ⏱️ 13.03.2024): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 990K Β· ⏱️ 06.03.2024): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 990K Β· ⏱️ 14.03.2024): ``` conda install -c bioconda snakemake ```
ClearML (πŸ₯ˆ34 Β· ⭐ 5.1K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 620 Β· πŸ“₯ 2.2K Β· πŸ“¦ 970 Β· πŸ“‹ 960 - 45% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 620 Β· πŸ“₯ 2.2K Β· πŸ“¦ 990 Β· πŸ“‹ 960 - 45% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 280K / month Β· πŸ“¦ 18 Β· ⏱️ 03.03.2024): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 290K / month Β· πŸ“¦ 18 Β· ⏱️ 03.03.2024): ``` pip install clearml ``` @@ -5618,24 +5707,24 @@ _Libraries to organize, track, and visualize machine learning experiments._
AzureML SDK (πŸ₯ˆ34 Β· ⭐ 3.9K) - Python notebooks with ML and deep learning examples with Azure.. MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 510 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 15.02.2024): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 520 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 15.02.2024): ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 540K / month Β· πŸ“¦ 48 Β· ⏱️ 06.02.2024): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 560K / month Β· πŸ“¦ 48 Β· ⏱️ 06.02.2024): ``` pip install azureml-sdk ```
-
Metaflow (πŸ₯ˆ33 Β· ⭐ 7.4K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2 +
Metaflow (πŸ₯ˆ33 Β· ⭐ 7.5K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 690 Β· πŸ“¦ 610 Β· πŸ“‹ 670 - 45% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 690 Β· πŸ“¦ 610 Β· πŸ“‹ 670 - 45% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 200K / month Β· πŸ“¦ 28 Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 210K / month Β· πŸ“¦ 28 Β· ⏱️ 27.02.2024): ``` pip install metaflow ``` @@ -5651,7 +5740,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.6M / month Β· πŸ“¦ 1K Β· ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.5M / month Β· πŸ“¦ 1K Β· ⏱️ 20.08.2023): ``` pip install tensorboardX ``` @@ -5662,12 +5751,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ32 Β· ⭐ 4.7K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 280 Β· πŸ“¦ 460 Β· πŸ“‹ 980 - 33% open Β· ⏱️ 28.02.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“¦ 480 Β· πŸ“‹ 990 - 33% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 110K / month Β· πŸ“¦ 21 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 120K / month): ``` pip install aim ``` @@ -5694,7 +5783,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
kaggle (πŸ₯ˆ30 Β· ⭐ 5.8K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 440 - 32% open Β· ⏱️ 23.01.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 450 - 32% open Β· ⏱️ 23.01.2024): ``` git clone https://github.com/Kaggle/kaggle-api @@ -5710,12 +5799,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
Neptune.ai (πŸ₯ˆ30 Β· ⭐ 500) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 57 Β· πŸ“‹ 240 - 11% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 57 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 560K / month Β· πŸ“¦ 49 Β· ⏱️ 15.02.2024): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 550K / month Β· πŸ“¦ 50 Β· ⏱️ 12.03.2024): ``` pip install neptune-client ``` @@ -5726,7 +5815,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
VisualDL (πŸ₯ˆ29 Β· ⭐ 4.7K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 340 Β· πŸ“¦ 2.7K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 350 Β· πŸ“¦ 2.7K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/PaddlePaddle/VisualDL @@ -5738,36 +5827,36 @@ _Libraries to organize, track, and visualize machine learning experiments._
quinn (πŸ₯‰28 Β· ⭐ 560) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 86 Β· πŸ“₯ 10 Β· πŸ“¦ 75 Β· πŸ“‹ 110 - 31% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 87 Β· πŸ“₯ 15 Β· πŸ“¦ 75 Β· πŸ“‹ 110 - 31% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 770K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 790K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): ``` pip install quinn ```
Labml (πŸ₯‰26 Β· ⭐ 1.8K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 120 Β· πŸ“¦ 130 Β· πŸ“‹ 38 - 47% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 120 Β· πŸ“¦ 140 Β· πŸ“‹ 38 - 47% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.1K / month Β· πŸ“¦ 6 Β· ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 3.5K / month Β· πŸ“¦ 6 Β· ⏱️ 10.09.2023): ``` pip install labml ```
TNT (πŸ₯‰26 Β· ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 250 Β· πŸ“‹ 110 - 43% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 250 Β· πŸ“‹ 110 - 43% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.7K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.1K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` pip install torchnet ``` @@ -5779,7 +5868,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 63K / month Β· πŸ“¦ 24 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 64K / month Β· πŸ“¦ 24 Β· ⏱️ 10.08.2023): ``` pip install ml-metadata ``` @@ -5791,19 +5880,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/m3dev/gokart ``` -- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 3.9K / month Β· πŸ“¦ 5 Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4.3K / month Β· πŸ“¦ 5 Β· ⏱️ 06.03.2024): ``` pip install gokart ```
Guild AI (πŸ₯‰23 Β· ⭐ 850 Β· πŸ’€) - Experiment tracking, ML developer tools. Apache-2 -- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 84 Β· πŸ“₯ 14 Β· πŸ“¦ 93 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 84 Β· πŸ“₯ 14 Β· πŸ“¦ 94 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 5.5K / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 5.3K / month Β· ⏱️ 11.05.2022): ``` pip install guildai ``` @@ -5815,7 +5904,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 1.4K / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 1.2K / month Β· ⏱️ 14.09.2021): ``` pip install studioml ``` @@ -5827,7 +5916,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 580 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 620 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ``` @@ -5839,20 +5928,20 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 110 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 100 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ```
Show 15 hidden projects... -- Catalyst (πŸ₯ˆ29 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 +- Catalyst (πŸ₯‰28 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 - SKLL (πŸ₯‰26 Β· ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - knockknock (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - hiddenlayer (πŸ₯‰23 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT - lore (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT -- TensorBoard Logger (πŸ₯‰20 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT +- TensorBoard Logger (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - keepsake (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Version control for machine learning. Apache-2 - datmo (πŸ₯‰18 Β· ⭐ 350 Β· πŸ’€) - Open source production model management tool for data scientists. MIT @@ -5872,52 +5961,52 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 17K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.6K Β· πŸ“₯ 20K Β· πŸ“¦ 25K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.6K Β· πŸ“₯ 20K Β· πŸ“¦ 25K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.1M / month Β· πŸ“¦ 700 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.3M / month Β· πŸ“¦ 710 Β· ⏱️ 26.10.2023): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 930K Β· ⏱️ 07.03.2024): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 930K Β· ⏱️ 13.03.2024): ``` conda install -c conda-forge onnx ```
-
triton (πŸ₯‡43 Β· ⭐ 10K Β· πŸ“ˆ) - Development repository for the Triton language and compiler. MIT +
triton (πŸ₯‡43 Β· ⭐ 10K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 19K Β· πŸ“‹ 1.1K - 42% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.1K Β· πŸ“¦ 19K Β· πŸ“‹ 1.1K - 42% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 9.6M / month Β· πŸ“¦ 98 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 9.8M / month Β· πŸ“¦ 100 Β· ⏱️ 10.01.2024): ``` pip install triton ```
BentoML (πŸ₯ˆ36 Β· ⭐ 6.4K) - Build Production-Grade AI Applications. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 720 Β· πŸ“₯ 1.9K Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 730 Β· πŸ“₯ 1.8K Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 20% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 94K / month Β· πŸ“¦ 14 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 86K / month Β· πŸ“¦ 14 Β· ⏱️ 14.03.2024): ``` pip install bentoml ```
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huggingface_hub (πŸ₯ˆ36 Β· ⭐ 1.6K Β· πŸ“ˆ) - The official Python client for the Huggingface Hub. Apache-2 +
huggingface_hub (πŸ₯ˆ36 Β· ⭐ 1.6K) - The official Python client for the Huggingface Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“‹ 750 - 16% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“‹ 760 - 17% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 26M / month Β· πŸ“¦ 680 Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 25M / month Β· πŸ“¦ 710 Β· ⏱️ 06.03.2024): ``` pip install huggingface_hub ``` @@ -5928,7 +6017,7 @@ _Libraries to serialize models to files, convert between a variety of model form
TorchServe (πŸ₯ˆ35 Β· ⭐ 3.9K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 790 Β· πŸ“₯ 5.6K Β· πŸ“¦ 620 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 800 Β· πŸ“₯ 5.6K Β· πŸ“¦ 620 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/pytorch/serve @@ -5948,7 +6037,7 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (πŸ₯ˆ33 Β· ⭐ 4K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 590 Β· πŸ“₯ 9.2K Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.3K - 21% open Β· ⏱️ 22.02.2024): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 590 Β· πŸ“₯ 9.2K Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.3K - 21% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/apple/coremltools @@ -5964,28 +6053,28 @@ _Libraries to serialize models to files, convert between a variety of model form
Hummingbird (πŸ₯ˆ27 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 370 Β· πŸ“‹ 320 - 19% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 370 Β· πŸ“‹ 310 - 18% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.7K / month Β· πŸ“¦ 4 Β· ⏱️ 08.01.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 8.2K / month Β· πŸ“¦ 4 Β· ⏱️ 08.03.2024): ``` pip install hummingbird-ml ``` -- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 38K Β· ⏱️ 08.01.2024): +- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 38K Β· ⏱️ 08.03.2024): ``` conda install -c conda-forge hummingbird-ml ```
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hls4ml (πŸ₯ˆ26 Β· ⭐ 1K) - Machine learning on FPGAs using HLS. Apache-2 +
hls4ml (πŸ₯ˆ26 Β· ⭐ 1.1K) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 320 Β· πŸ“‹ 380 - 34% open Β· ⏱️ 26.02.2024): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 360 Β· πŸ“‹ 410 - 38% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.3K / month): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.3K / month Β· ⏱️ 19.12.2023): ``` pip install hls4ml ``` @@ -5994,38 +6083,38 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge hls4ml ```
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nebullvm (πŸ₯‰22 Β· ⭐ 8.3K) - The user analytics platform for LLMs. Apache-2 +
cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 -- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 650 Β· πŸ“‹ 200 - 48% open Β· ⏱️ 28.10.2023): +- [GitHub](https://github.com/cortexlabs/cortex) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 610 Β· πŸ“‹ 1.1K - 10% open Β· ⏱️ 04.03.2023): ``` - git clone https://github.com/nebuly-ai/nebullvm + git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 740 / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): ``` - pip install nebullvm + pip install cortex ```
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cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 +
nebullvm (πŸ₯‰21 Β· ⭐ 8.3K) - The user analytics platform for LLMs. Apache-2 -- [GitHub](https://github.com/cortexlabs/cortex) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 610 Β· πŸ“‹ 1.1K - 10% open Β· ⏱️ 04.03.2023): +- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 650 Β· πŸ“‹ 200 - 48% open Β· ⏱️ 28.10.2023): ``` - git clone https://github.com/cortexlabs/cortex + git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 960 / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` - pip install cortex + pip install nebullvm ```
tfdeploy (πŸ₯‰17 Β· ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 -- [GitHub](https://github.com/riga/tfdeploy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“‹ 34 - 32% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/riga/tfdeploy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 36 Β· πŸ“‹ 34 - 32% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 80 / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 54 / month): ``` pip install tfdeploy ``` @@ -6038,9 +6127,9 @@ _Libraries to serialize models to files, convert between a variety of model form - Larq Compute Engine (πŸ₯‰20 Β· ⭐ 230) - Highly optimized inference engine for Binarized.. Apache-2 - modelkit (πŸ₯‰20 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT - pytorch2keras (πŸ₯‰19 Β· ⭐ 850 Β· πŸ’€) - PyTorch to Keras model convertor. MIT -- ml-ane-transformers (πŸ₯‰14 Β· ⭐ 2.4K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed +- OMLT (πŸ₯‰18 Β· ⭐ 240) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - backprop (πŸ₯‰14 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 -- OMLT (πŸ₯‰14 Β· ⭐ 240 Β· πŸ“‰) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed +- ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.4K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed

@@ -6052,100 +6141,100 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡41 Β· ⭐ 21K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3K Β· πŸ“¦ 16K Β· πŸ“‹ 2.4K - 58% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.1K Β· πŸ“¦ 16K Β· πŸ“‹ 2.4K - 55% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 8M / month): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 8M / month Β· πŸ“¦ 480 Β· ⏱️ 08.03.2024): ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.4M Β· ⏱️ 08.01.2024): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.4M Β· ⏱️ 12.03.2024): ``` conda install -c conda-forge shap ```
arviz (πŸ₯‡36 Β· ⭐ 1.5K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 370 Β· πŸ“₯ 130 Β· πŸ“¦ 6K Β· πŸ“‹ 840 - 19% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 370 Β· πŸ“₯ 130 Β· πŸ“¦ 6K Β· πŸ“‹ 850 - 20% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.9M / month Β· πŸ“¦ 170 Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 2M / month Β· πŸ“¦ 180 Β· ⏱️ 13.03.2024): ``` pip install arviz ``` -- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 2.1M Β· ⏱️ 28.12.2023): +- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 2.1M Β· ⏱️ 13.03.2024): ``` conda install -c conda-forge arviz ```
Netron (πŸ₯‡34 Β· ⭐ 26K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 69K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 73K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 31K / month Β· πŸ“¦ 74 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 30K / month Β· πŸ“¦ 74 Β· ⏱️ 09.03.2024): ``` pip install netron ```
InterpretML (πŸ₯‡33 Β· ⭐ 5.9K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 690 Β· πŸ“¦ 630 Β· πŸ“‹ 410 - 21% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 710 Β· πŸ“¦ 640 Β· πŸ“‹ 420 - 21% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 79K / month): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 80K / month Β· πŸ“¦ 30 Β· ⏱️ 08.02.2024): ``` pip install interpret ```
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Captum (πŸ₯‡32 Β· ⭐ 4.5K) - Model interpretability and understanding for PyTorch. BSD-3 +
Captum (πŸ₯‡33 Β· ⭐ 4.5K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 460 Β· πŸ“¦ 1.9K Β· πŸ“‹ 500 - 34% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 460 Β· πŸ“¦ 1.9K Β· πŸ“‹ 520 - 36% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 200K / month): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 210K / month Β· πŸ“¦ 63 Β· ⏱️ 05.12.2023): ``` pip install captum ``` -- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 21K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 22K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge captum ```
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explainerdashboard (πŸ₯‡32 Β· ⭐ 2.2K) - Quickly build Explainable AI dashboards that show the inner.. MIT +
explainerdashboard (πŸ₯ˆ31 Β· ⭐ 2.2K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 300 Β· πŸ“¦ 440 Β· πŸ“‹ 230 - 14% open Β· ⏱️ 18.12.2023): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 300 Β· πŸ“¦ 450 Β· πŸ“‹ 230 - 14% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 82K / month Β· πŸ“¦ 10 Β· ⏱️ 17.12.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 85K / month Β· πŸ“¦ 10 Β· ⏱️ 17.12.2023): ``` pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 43K Β· ⏱️ 17.12.2023): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 43K Β· ⏱️ 12.03.2024): ``` conda install -c conda-forge explainerdashboard ```
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evaluate (πŸ₯ˆ31 Β· ⭐ 1.7K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 +
evaluate (πŸ₯ˆ31 Β· ⭐ 1.8K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 210 Β· πŸ“¦ 7.2K Β· πŸ“‹ 250 - 50% open Β· ⏱️ 27.12.2023): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 210 Β· πŸ“¦ 7.3K Β· πŸ“‹ 250 - 49% open Β· ⏱️ 27.12.2023): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.3M / month Β· πŸ“¦ 160 Β· ⏱️ 13.10.2023): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.3M / month): ``` pip install evaluate ``` @@ -6157,7 +6246,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 50K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 53K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): ``` pip install dowhy ``` @@ -6166,54 +6255,38 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge dowhy ```
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pyLDAvis (πŸ₯ˆ30 Β· ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3 +
responsible-ai-widgets (πŸ₯ˆ30 Β· ⭐ 1.2K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 350 Β· πŸ“¦ 5.8K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 07.02.2024): - - ``` - git clone https://github.com/bmabey/pyLDAvis - ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 160K / month): - ``` - pip install pyldavis - ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge pyldavis - ``` -
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responsible-ai-widgets (πŸ₯ˆ30 Β· ⭐ 1.1K) - Responsible AI Toolbox is a suite of tools providing.. MIT - -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 300 Β· πŸ“¦ 88 Β· πŸ“‹ 310 - 26% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 300 Β· πŸ“¦ 90 Β· πŸ“‹ 310 - 26% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 4.8K / month Β· πŸ“¦ 3 Β· ⏱️ 09.02.2024): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 4.7K / month Β· πŸ“¦ 3 Β· ⏱️ 09.02.2024): ``` pip install raiwidgets ```
shapash (πŸ₯ˆ29 Β· ⭐ 2.6K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 320 Β· πŸ“¦ 140 Β· πŸ“‹ 190 - 20% open Β· ⏱️ 08.02.2024): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 320 Β· πŸ“¦ 140 Β· πŸ“‹ 190 - 20% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7K / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.2K / month Β· πŸ“¦ 2 Β· ⏱️ 12.03.2024): ``` pip install shapash ```
Fairness 360 (πŸ₯ˆ29 Β· ⭐ 2.3K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 810 Β· πŸ“¦ 370 Β· πŸ“‹ 290 - 65% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 780 Β· πŸ“¦ 380 Β· πŸ“‹ 240 - 57% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 18K / month Β· πŸ“¦ 16 Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 20K / month): ``` pip install aif360 ``` @@ -6222,9 +6295,25 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge aif360 ```
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pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3 + +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 360 Β· πŸ“¦ 5.8K Β· πŸ“‹ 190 - 41% open Β· ⏱️ 07.02.2024): + + ``` + git clone https://github.com/bmabey/pyLDAvis + ``` +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 160K / month Β· πŸ“¦ 160 Β· ⏱️ 23.04.2023): + ``` + pip install pyldavis + ``` +- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pyldavis + ``` +
fairlearn (πŸ₯ˆ29 Β· ⭐ 1.8K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 380 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 35% open Β· ⏱️ 14.02.2024): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 380 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 35% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/fairlearn/fairlearn @@ -6240,7 +6329,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
dtreeviz (πŸ₯ˆ28 Β· ⭐ 2.8K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 1.1K Β· πŸ“‹ 200 - 30% open Β· ⏱️ 06.01.2024): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 1.1K Β· πŸ“‹ 200 - 31% open Β· ⏱️ 06.01.2024): ``` git clone https://github.com/parrt/dtreeviz @@ -6254,58 +6343,58 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge dtreeviz ```
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LIT (πŸ₯ˆ27 Β· ⭐ 3.3K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 +
yellowbrick (πŸ₯ˆ27 Β· ⭐ 4.2K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“¦ 28 Β· πŸ“‹ 170 - 53% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 05.07.2023): ``` - git clone https://github.com/PAIR-code/lit + git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 3.8K / month Β· πŸ“¦ 1 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 460K / month Β· πŸ“¦ 87 Β· ⏱️ 21.08.2022): ``` - pip install lit-nlp + pip install yellowbrick ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 67K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 75K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge lit-nlp + conda install -c conda-forge yellowbrick ```
imodels (πŸ₯ˆ27 Β· ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 66 Β· πŸ“‹ 82 - 36% open Β· ⏱️ 02.03.2024): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 66 Β· πŸ“‹ 82 - 36% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 27K / month): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 28K / month Β· πŸ“¦ 7 Β· ⏱️ 11.03.2024): ``` pip install imodels ```
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yellowbrick (πŸ₯ˆ26 Β· ⭐ 4.2K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 +
LIT (πŸ₯ˆ26 Β· ⭐ 3.3K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“¦ 30 Β· πŸ“‹ 180 - 53% open Β· ⏱️ 21.02.2024): ``` - git clone https://github.com/DistrictDataLabs/yellowbrick + git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 440K / month Β· πŸ“¦ 87 Β· ⏱️ 21.08.2022): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4K / month Β· πŸ“¦ 1 Β· ⏱️ 21.02.2024): ``` - pip install yellowbrick + pip install lit-nlp ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 75K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 67K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge yellowbrick + conda install -c conda-forge lit-nlp ```
Model Analysis (πŸ₯ˆ26 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 76 - 30% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 76 - 28% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 82K / month): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 83K / month): ``` pip install tensorflow-model-analysis ``` @@ -6317,31 +6406,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 9.1K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 9.6K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): ``` pip install aequitas ```
CausalNex (πŸ₯‰25 Β· ⭐ 2.1K) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 240 Β· πŸ“¦ 110 Β· πŸ“‹ 130 - 13% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 240 Β· πŸ“¦ 110 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 10.02.2024): ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3.1K / month Β· πŸ“¦ 3 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3.4K / month Β· πŸ“¦ 3 Β· ⏱️ 22.06.2023): ``` pip install causalnex ```
checklist (πŸ₯‰25 Β· ⭐ 2K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT -- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 310 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 320 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 4.9K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 4.5K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` @@ -6357,71 +6446,71 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 620 / month): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 600 / month): ``` pip install innvestigate ```
Explainability 360 (πŸ₯‰24 Β· ⭐ 1.5K) - Interpretability and explainability of data and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 86 Β· πŸ“‹ 76 - 60% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 87 Β· πŸ“‹ 76 - 60% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.5K / month): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.4K / month): ``` pip install aix360 ```
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keract (πŸ₯‰23 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT +
DiCE (πŸ₯‰23 Β· ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT -- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 210 Β· πŸ“‹ 88 - 2% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 180 Β· πŸ“‹ 170 - 45% open Β· ⏱️ 09.12.2023): ``` - git clone https://github.com/philipperemy/keract + git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.6K / month): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 61K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): ``` - pip install keract + pip install dice-ml ```
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ecco (πŸ₯‰22 Β· ⭐ 1.9K Β· πŸ’€) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 +
keract (πŸ₯‰23 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT -- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“₯ 81 Β· πŸ“¦ 28 Β· πŸ“‹ 61 - 49% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 210 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 17.11.2023): ``` - git clone https://github.com/jalammar/ecco - ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 430 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): - ``` - pip install ecco + git clone https://github.com/philipperemy/keract ``` -- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4.4K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.9K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` - conda install -c conda-forge ecco + pip install keract ```
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DiCE (πŸ₯‰22 Β· ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT +
ecco (πŸ₯‰22 Β· ⭐ 1.9K Β· πŸ’€) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 -- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 180 Β· πŸ“‹ 170 - 45% open Β· ⏱️ 09.12.2023): +- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“₯ 82 Β· πŸ“¦ 28 Β· πŸ“‹ 61 - 49% open Β· ⏱️ 10.08.2023): ``` - git clone https://github.com/interpretml/DiCE + git clone https://github.com/jalammar/ecco + ``` +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 420 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 80K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): + pip install ecco ``` - pip install dice-ml +- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4.4K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge ecco ```
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What-If Tool (πŸ₯‰21 Β· ⭐ 870) - Source code/webpage/demos for the What-If Tool. Apache-2 +
What-If Tool (πŸ₯‰20 Β· ⭐ 880) - Source code/webpage/demos for the What-If Tool. Apache-2 -- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“¦ 2 Β· πŸ“‹ 140 - 58% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“¦ 2 Β· πŸ“‹ 120 - 54% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 3.4K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 3.7K / month): ``` pip install witwidget ``` @@ -6429,7 +6518,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 1.4K / month): ``` npm install wit-widget ``` @@ -6441,7 +6530,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ``` @@ -6460,48 +6549,48 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
fairness-indicators (πŸ₯‰19 Β· ⭐ 330) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 -- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 27.02.2024): +- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2.1K / month Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2.4K / month Β· ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
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FlashTorch (πŸ₯‰16 Β· ⭐ 720) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT +
ExplainX.ai (πŸ₯‰16 Β· ⭐ 380) - Explainable AI framework for data scientists. Explain & debug any.. MIT -- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 88 Β· πŸ“¦ 16 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 51 Β· πŸ“₯ 15 Β· πŸ“‹ 39 - 25% open Β· ⏱️ 15.01.2024): ``` - git clone https://github.com/MisaOgura/flashtorch + git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 200 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1K / month Β· ⏱️ 04.02.2021): ``` - pip install flashtorch + pip install explainx ```
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ExplainX.ai (πŸ₯‰16 Β· ⭐ 380) - Explainable AI framework for data scientists. Explain & debug any.. MIT +
FlashTorch (πŸ₯‰15 Β· ⭐ 720) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT -- [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 51 Β· πŸ“₯ 13 Β· πŸ“‹ 39 - 25% open Β· ⏱️ 15.01.2024): +- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 88 Β· πŸ“¦ 16 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 21.09.2023): ``` - git clone https://github.com/explainX/explainx + git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 800 / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 140 / month Β· ⏱️ 29.05.2020): ``` - pip install explainx + pip install flashtorch ```
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interpret-text (πŸ₯‰15 Β· ⭐ 390) - A library that incorporates state-of-the-art explainers for.. MIT +
interpret-text (πŸ₯‰15 Β· ⭐ 400) - A library that incorporates state-of-the-art explainers for.. MIT -- [GitHub](https://github.com/interpretml/interpret-text) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 66 Β· πŸ“‹ 100 - 83% open Β· ⏱️ 05.02.2024): +- [GitHub](https://github.com/interpretml/interpret-text) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 66 Β· πŸ“‹ 100 - 84% open Β· ⏱️ 05.02.2024): ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 90 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 82 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ``` @@ -6510,24 +6599,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - Lime (πŸ₯‡32 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - Deep Checks (πŸ₯ˆ28 Β· ⭐ 3.3K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗Unlicensed -- scikit-plot (πŸ₯ˆ27 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT +- scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT +- Alibi (πŸ₯ˆ28 Β· ⭐ 2.3K) - Algorithms for explaining machine learning models. ❗️Intel - DALEX (πŸ₯ˆ27 Β· ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT -- Alibi (πŸ₯ˆ26 Β· ⭐ 2.3K) - Algorithms for explaining machine learning models. ❗Unlicensed - Lucid (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 -- keras-vis (πŸ₯‰23 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT +- keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - random-forest-importances (πŸ₯‰22 Β· ⭐ 580 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT - deeplift (πŸ₯‰21 Β· ⭐ 790 Β· πŸ’€) - Public facing deeplift repo. MIT - Quantus (πŸ₯‰21 Β· ⭐ 480) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - TreeInterpreter (πŸ₯‰19 Β· ⭐ 740 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - tcav (πŸ₯‰19 Β· ⭐ 610 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 +- sklearn-evaluation (πŸ₯‰19 Β· ⭐ 430 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - XAI (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - Anchor (πŸ₯‰15 Β· ⭐ 780 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - contextual-ai (πŸ₯‰12 Β· ⭐ 85 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 -- bias-detector (πŸ₯‰12 Β· ⭐ 42) - MIT - Attribution Priors (πŸ₯‰11 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT -- sklearn-evaluation (πŸ₯‰10 Β· ⭐ 3 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT +- bias-detector (πŸ₯‰11 Β· ⭐ 42) - MIT

@@ -6539,18 +6628,18 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit πŸ”— ANN Benchmarks ( ⭐ 4.4K) - Benchmarks of approximate nearest neighbor libraries in Python. -
Milvus (πŸ₯‡41 Β· ⭐ 26K Β· πŸ“ˆ) - A cloud-native vector database, storage for next generation AI.. Apache-2 +
Milvus (πŸ₯‡41 Β· ⭐ 26K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.7K Β· πŸ“₯ 77K Β· πŸ“‹ 10K - 5% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.7K Β· πŸ“₯ 78K Β· πŸ“‹ 10K - 5% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 690K / month Β· πŸ“¦ 82 Β· ⏱️ 24.01.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 730K / month Β· πŸ“¦ 88 Β· ⏱️ 13.03.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 12M Β· ⭐ 41 Β· ⏱️ 07.03.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 12M Β· ⭐ 42 Β· ⏱️ 14.03.2024): ``` docker pull milvusdb/milvus ``` @@ -6562,7 +6651,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 690K / month Β· πŸ“¦ 82 Β· ⏱️ 24.01.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 730K / month Β· πŸ“¦ 88 Β· ⏱️ 13.03.2024): ``` pip install pymilvus ``` @@ -6578,7 +6667,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 1.1M / month Β· πŸ“¦ 280 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 1.2M / month Β· πŸ“¦ 280 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` @@ -6594,7 +6683,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 760K / month Β· πŸ“¦ 66 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 810K / month Β· πŸ“¦ 66 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` @@ -6605,12 +6694,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (πŸ₯‰29 Β· ⭐ 830) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 5.6K Β· πŸ“‹ 130 - 53% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 5.7K Β· πŸ“‹ 130 - 53% open Β· ⏱️ 10.01.2024): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1M / month Β· πŸ“¦ 72 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 940K / month Β· πŸ“¦ 72 Β· ⏱️ 20.11.2023): ``` pip install pynndescent ``` @@ -6621,16 +6710,16 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
USearch (πŸ₯‰28 Β· ⭐ 1.5K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 79 Β· πŸ“₯ 1.1K Β· πŸ“¦ 52 Β· πŸ“‹ 90 - 33% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 79 Β· πŸ“₯ 1.1K Β· πŸ“¦ 56 Β· πŸ“‹ 90 - 33% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 43K / month Β· πŸ“¦ 4 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 42K / month Β· πŸ“¦ 4 Β· ⏱️ 05.03.2024): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 8.4K / month Β· πŸ“¦ 10 Β· ⏱️ 05.03.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 8.6K / month Β· πŸ“¦ 10 Β· ⏱️ 05.03.2024): ``` npm install usearch ``` @@ -6639,14 +6728,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit docker pull unum/usearch ```
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NGT (πŸ₯‰21 Β· ⭐ 1.2K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 +
NGT (πŸ₯‰22 Β· ⭐ 1.2K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 110 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 06.12.2023): ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 6.1K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 6.2K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ``` @@ -6658,14 +6747,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 330 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 340 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ```
Show 4 hidden projects... -- NMSLIB (πŸ₯ˆ30 Β· ⭐ 3.2K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 +- NMSLIB (πŸ₯ˆ30 Β· ⭐ 3.3K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 - Magnitude (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT - NearPy (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - PySparNN (πŸ₯‰11 Β· ⭐ 910 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3 @@ -6680,12 +6769,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡40 Β· ⭐ 8.1K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.9K Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.9K Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 810K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 840K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): ``` pip install pymc3 ``` @@ -6694,14 +6783,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pymc3 ```
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tensorflow-probability (πŸ₯‡37 Β· ⭐ 4K) - Probabilistic reasoning and statistical analysis in.. Apache-2 +
tensorflow-probability (πŸ₯‡37 Β· ⭐ 4.1K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.2M / month Β· πŸ“¦ 460 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.2M / month Β· πŸ“¦ 460 Β· ⏱️ 12.03.2024): ``` pip install tensorflow-probability ``` @@ -6712,12 +6801,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Pyro (πŸ₯‡34 Β· ⭐ 8.3K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 27.02.2024): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 330K / month Β· πŸ“¦ 120 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 340K / month Β· πŸ“¦ 120 Β· ⏱️ 19.02.2024): ``` pip install pyro-ppl ``` @@ -6728,12 +6817,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
hmmlearn (πŸ₯ˆ32 Β· ⭐ 2.9K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 730 Β· πŸ“¦ 2.3K Β· πŸ“‹ 430 - 14% open Β· ⏱️ 02.03.2024): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 730 Β· πŸ“¦ 2.4K Β· πŸ“‹ 430 - 14% open Β· ⏱️ 10.03.2024): ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 140K / month Β· πŸ“¦ 150 Β· ⏱️ 02.03.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 160K / month Β· πŸ“¦ 150 Β· ⏱️ 02.03.2024): ``` pip install hmmlearn ``` @@ -6744,19 +6833,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯ˆ32 Β· ⭐ 2.6K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 690 Β· πŸ“₯ 310 Β· πŸ“¦ 880 Β· πŸ“‹ 890 - 29% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 690 Β· πŸ“₯ 320 Β· πŸ“¦ 880 Β· πŸ“‹ 900 - 30% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 45K / month Β· πŸ“¦ 33 Β· ⏱️ 16.10.2023): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 49K / month Β· πŸ“¦ 33 Β· ⏱️ 08.03.2024): ``` pip install pgmpy ```
patsy (πŸ₯ˆ32 Β· ⭐ 920) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“¦ 90K Β· πŸ“‹ 150 - 47% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“¦ 91K Β· πŸ“‹ 150 - 47% open Β· ⏱️ 04.01.2024): ``` git clone https://github.com/pydata/patsy @@ -6765,35 +6854,35 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 9.7M Β· ⏱️ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 9.8M Β· ⏱️ 05.01.2024): ``` conda install -c conda-forge patsy ```
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emcee (πŸ₯ˆ31 Β· ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT +
pomegranate (πŸ₯ˆ31 Β· ⭐ 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT -- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 430 Β· πŸ“¦ 2.3K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 570 Β· πŸ“¦ 1.1K Β· πŸ“‹ 750 - 4% open Β· ⏱️ 11.03.2024): ``` - git clone https://github.com/dfm/emcee + git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 150K / month Β· πŸ“¦ 370 Β· ⏱️ 02.02.2023): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 62K / month Β· πŸ“¦ 59 Β· ⏱️ 11.03.2024): ``` - pip install emcee + pip install pomegranate ``` -- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 320K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 140K Β· ⏱️ 10.12.2023): ``` - conda install -c conda-forge emcee + conda install -c conda-forge pomegranate ```
SALib (πŸ₯ˆ31 Β· ⭐ 800) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 230 Β· πŸ“¦ 1K Β· πŸ“‹ 310 - 15% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 220 Β· πŸ“¦ 1.1K Β· πŸ“‹ 310 - 15% open Β· ⏱️ 04.03.2024): ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 150K / month Β· πŸ“¦ 90 Β· ⏱️ 18.02.2024): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 160K / month Β· πŸ“¦ 90 Β· ⏱️ 18.02.2024): ``` pip install salib ``` @@ -6802,57 +6891,57 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge salib ```
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GPyTorch (πŸ₯‰30 Β· ⭐ 3.4K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT +
GPflow (πŸ₯‰30 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 530 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 04.02.2024): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 630 Β· πŸ“‹ 830 - 17% open Β· ⏱️ 07.02.2024): ``` - git clone https://github.com/cornellius-gp/gpytorch + git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 230K / month Β· πŸ“¦ 93 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 47K / month Β· πŸ“¦ 37 Β· ⏱️ 07.02.2024): ``` - pip install gpytorch + pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 150K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge gpytorch + conda install -c conda-forge gpflow ```
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pomegranate (πŸ₯‰30 Β· ⭐ 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT +
emcee (πŸ₯‰30 Β· ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT -- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 570 Β· πŸ“¦ 1.1K Β· πŸ“‹ 750 - 4% open Β· ⏱️ 13.11.2023): +- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 430 Β· πŸ“¦ 2.3K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 01.03.2024): ``` - git clone https://github.com/jmschrei/pomegranate + git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 59K / month Β· πŸ“¦ 59 Β· ⏱️ 17.09.2023): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 150K / month Β· πŸ“¦ 370 Β· ⏱️ 02.02.2023): ``` - pip install pomegranate + pip install emcee ``` -- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 140K Β· ⏱️ 10.12.2023): +- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 320K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pomegranate + conda install -c conda-forge emcee ```
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GPflow (πŸ₯‰30 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 +
GPyTorch (πŸ₯‰29 Β· ⭐ 3.4K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 620 Β· πŸ“‹ 830 - 17% open Β· ⏱️ 07.02.2024): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 530 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 04.02.2024): ``` - git clone https://github.com/GPflow/GPflow + git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 48K / month Β· πŸ“¦ 37 Β· ⏱️ 07.02.2024): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 240K / month Β· πŸ“¦ 93 Β· ⏱️ 02.06.2023): ``` - pip install gpflow + pip install gpytorch ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 150K Β· ⏱️ 11.08.2023): ``` - conda install -c conda-forge gpflow + conda install -c conda-forge gpytorch ```
PyStan (πŸ₯‰29 Β· ⭐ 310) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC -- [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 56 Β· πŸ“¦ 9.7K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 07.02.2024): +- [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 57 Β· πŸ“¦ 9.7K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 07.02.2024): ``` git clone https://github.com/stan-dev/pystan @@ -6868,24 +6957,24 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (πŸ₯‰26 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“¦ 47 Β· πŸ“‹ 400 - 14% open Β· ⏱️ 22.01.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 130 Β· πŸ“¦ 49 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 32K / month Β· πŸ“¦ 1 Β· ⏱️ 03.03.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 28K / month Β· πŸ“¦ 1 Β· ⏱️ 14.03.2024): ``` pip install orbit-ml ```
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bambi (πŸ₯‰26 Β· ⭐ 990) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
bambi (πŸ₯‰26 Β· ⭐ 1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 110 Β· πŸ“¦ 110 Β· πŸ“‹ 380 - 17% open Β· ⏱️ 29.02.2024): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 110 Β· πŸ“¦ 110 Β· πŸ“‹ 380 - 16% open Β· ⏱️ 29.02.2024): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 30K / month Β· πŸ“¦ 9 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 30K / month): ``` pip install bambi ``` @@ -6896,12 +6985,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
scikit-posthocs (πŸ₯‰26 Β· ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 39 Β· πŸ“¦ 620 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 40 Β· πŸ“¦ 630 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 99K / month Β· πŸ“¦ 32 Β· ⏱️ 18.02.2024): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 98K / month Β· πŸ“¦ 32 Β· ⏱️ 18.02.2024): ``` pip install scikit-posthocs ``` @@ -6928,7 +7017,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Show 7 hidden projects... -- filterpy (πŸ₯ˆ32 Β· ⭐ 3K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT +- filterpy (πŸ₯ˆ32 Β· ⭐ 3.1K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pandas-ta (πŸ₯‰30 Β· ⭐ 4.6K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT - pingouin (πŸ₯‰30 Β· ⭐ 1.5K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 @@ -6951,7 +7040,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 26K / month Β· πŸ“¦ 11 Β· ⏱️ 17.02.2024): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 25K / month Β· πŸ“¦ 11 Β· ⏱️ 17.02.2024): ``` pip install adversarial-robustness-toolbox ``` @@ -6960,36 +7049,36 @@ _Libraries for testing the robustness of machine learning models against attacks conda install -c conda-forge adversarial-robustness-toolbox ```
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Foolbox (πŸ₯ˆ30 Β· ⭐ 2.6K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT +
TextAttack (πŸ₯ˆ30 Β· ⭐ 2.7K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 420 Β· πŸ“¦ 560 Β· πŸ“‹ 370 - 5% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 370 Β· πŸ“¦ 230 Β· πŸ“‹ 260 - 18% open Β· ⏱️ 11.03.2024): ``` - git clone https://github.com/bethgelab/foolbox + git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.6K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 7K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): ``` - pip install foolbox + pip install textattack ``` -- [Conda](https://anaconda.org/conda-forge/foolbox) (πŸ“₯ 13K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 7.1K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge foolbox + conda install -c conda-forge textattack ```
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TextAttack (πŸ₯ˆ29 Β· ⭐ 2.7K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
Foolbox (πŸ₯ˆ30 Β· ⭐ 2.6K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 350 Β· πŸ“¦ 230 Β· πŸ“‹ 260 - 18% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 420 Β· πŸ“¦ 560 Β· πŸ“‹ 370 - 5% open Β· ⏱️ 04.03.2024): ``` - git clone https://github.com/QData/TextAttack + git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 7K / month Β· πŸ“¦ 5 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.7K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): ``` - pip install textattack + pip install foolbox ``` -- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 7.1K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/foolbox) (πŸ“₯ 13K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge textattack + conda install -c conda-forge foolbox ```
Show 6 hidden projects... @@ -7009,14 +7098,14 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._ -
CuPy (πŸ₯‡38 Β· ⭐ 7.6K) - NumPy & SciPy for GPU. MIT +
CuPy (πŸ₯‡38 Β· ⭐ 7.7K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 750 Β· πŸ“₯ 170K Β· πŸ“¦ 1.9K Β· πŸ“‹ 2.2K - 24% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 750 Β· πŸ“₯ 170K Β· πŸ“¦ 2K Β· πŸ“‹ 2.2K - 24% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 23K / month Β· πŸ“¦ 210 Β· ⏱️ 07.12.2023): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 25K / month Β· πŸ“¦ 210 Β· ⏱️ 07.12.2023): ``` pip install cupy ``` @@ -7031,12 +7120,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (πŸ₯‡34 Β· ⭐ 2K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 330 Β· πŸ“¦ 1.8K Β· πŸ“‹ 670 - 43% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 330 Β· πŸ“¦ 1.8K Β· πŸ“‹ 610 - 37% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 970K / month Β· πŸ“¦ 63 Β· ⏱️ 18.02.2024): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1M / month): ``` pip install optimum ``` @@ -7047,36 +7136,36 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (πŸ₯ˆ33 Β· ⭐ 7.1K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 810 Β· πŸ“¦ 52 Β· πŸ“‹ 6.1K - 17% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 810 Β· πŸ“¦ 52 Β· πŸ“‹ 6.1K - 17% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.5K / month Β· πŸ“¦ 11 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.6K / month Β· πŸ“¦ 11 Β· ⏱️ 01.06.2020): ``` pip install cudf ```
Apex (πŸ₯ˆ30 Β· ⭐ 7.9K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.2K - 57% open Β· ⏱️ 08.02.2024): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.2K - 57% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/NVIDIA/apex ``` -- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 180K Β· ⏱️ 12.01.2024): +- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 190K Β· ⏱️ 12.01.2024): ``` conda install -c conda-forge nvidia-apex ```
cuML (πŸ₯ˆ30 Β· ⭐ 3.8K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 490 Β· πŸ“‹ 2.4K - 35% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 490 Β· πŸ“‹ 2.4K - 35% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.2K / month Β· πŸ“¦ 7 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.3K / month Β· πŸ“¦ 7 Β· ⏱️ 01.06.2020): ``` pip install cuml ``` @@ -7104,7 +7193,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 33K / month Β· πŸ“¦ 220 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 37K / month Β· πŸ“¦ 220 Β· ⏱️ 03.01.2024): ``` pip install pycuda ``` @@ -7127,7 +7216,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.5K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 18% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 18% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/rapidsai/cugraph @@ -7143,7 +7232,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (πŸ₯‰25 Β· ⭐ 4.8K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/NVIDIA/DALI @@ -7156,7 +7245,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 580 / month Β· πŸ“¦ 50 Β· ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 720 / month Β· πŸ“¦ 50 Β· ⏱️ 27.05.2019): ``` pip install scikit-cuda ``` @@ -7168,19 +7257,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 110 / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 93 / month Β· ⏱️ 20.01.2024): ``` pip install kp ```
-
Merlin (πŸ₯‰21 Β· ⭐ 660) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +
Merlin (πŸ₯‰20 Β· ⭐ 660) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 110 Β· πŸ“‹ 440 - 44% open Β· ⏱️ 15.01.2024): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 110 Β· πŸ“‹ 440 - 43% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 2.8K / month): ``` pip install merlin-core ``` @@ -7199,7 +7288,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c - py3nvml (πŸ₯‰22 Β· ⭐ 230 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰18 Β· ⭐ 130 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 -- ipyexperiments (πŸ₯‰17 Β· ⭐ 180) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 +- ipyexperiments (πŸ₯‰16 Β· ⭐ 180) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 - SpeedTorch (πŸ₯‰15 Β· ⭐ 670 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT

@@ -7212,7 +7301,7 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4.1K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 17K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 17K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/tensorflow/datasets @@ -7228,12 +7317,12 @@ _Libraries that extend TensorFlow with additional capabilities._
tensorflow-hub (πŸ₯‡34 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 690 - 1% open Β· ⏱️ 06.02.2024): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 690 - 0% open Β· ⏱️ 06.02.2024): ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 3.8M / month Β· πŸ“¦ 340 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 3.7M / month Β· πŸ“¦ 340 Β· ⏱️ 30.01.2024): ``` pip install tensorflow-hub ``` @@ -7242,74 +7331,74 @@ _Libraries that extend TensorFlow with additional capabilities._ conda install -c conda-forge tensorflow-hub ```
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TF Addons (πŸ₯ˆ33 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 +
TF Addons (πŸ₯‡34 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 - [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 610 Β· πŸ“¦ 14K Β· πŸ“‹ 980 - 8% open Β· ⏱️ 13.12.2023): ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 920K / month Β· πŸ“¦ 220 Β· ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 960K / month Β· πŸ“¦ 220 Β· ⏱️ 28.11.2023): ``` pip install tensorflow-addons ```
tensor2tensor (πŸ₯ˆ32 Β· ⭐ 15K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 -- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.4K Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 46% open Β· ⏱️ 01.04.2023): +- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.3K Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.2K - 46% open Β· ⏱️ 01.04.2023): ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 5.7K / month Β· πŸ“¦ 90 Β· ⏱️ 17.06.2020): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 5.9K / month): ``` pip install tensor2tensor ```
TF Model Optimization (πŸ₯ˆ32 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 310 Β· πŸ“¦ 3.6K Β· πŸ“‹ 340 - 51% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 330 Β· πŸ“¦ 3.6K Β· πŸ“‹ 380 - 56% open Β· ⏱️ 23.02.2024): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 970K / month): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 1M / month Β· πŸ“¦ 30 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ```
TensorFlow Transform (πŸ₯ˆ31 Β· ⭐ 980) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 1.7K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 1.7K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 12.03.2024): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 700K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 730K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): ``` pip install tensorflow-transform ```
TFX (πŸ₯ˆ30 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 700 Β· πŸ“‹ 1.1K - 19% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 700 Β· πŸ“‹ 1.1K - 19% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 55K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 57K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): ``` pip install tfx ```
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TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 680) - Dataset, streaming, and file system extensions.. Apache-2 +
TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 690) - Dataset, streaming, and file system extensions.. Apache-2 - [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 630 - 42% open Β· ⏱️ 06.02.2024): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.2M / month Β· πŸ“¦ 36 Β· ⏱️ 06.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.3M / month Β· πŸ“¦ 36 Β· ⏱️ 06.02.2024): ``` pip install tensorflow-io ``` @@ -7321,43 +7410,43 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 16K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 19K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): ``` pip install neural-structured-learning ```
TF Compression (πŸ₯‰24 Β· ⭐ 800) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“‹ 100 - 9% open Β· ⏱️ 29.02.2024): +- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“‹ 100 - 9% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` pip install tensorflow-compression ```
TensorFlow Cloud (πŸ₯‰24 Β· ⭐ 360) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 83 Β· πŸ“¦ 360 Β· πŸ“‹ 87 - 68% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 360 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 39K / month): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 40K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ```
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Saliency (πŸ₯‰22 Β· ⭐ 920) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 +
Saliency (πŸ₯‰20 Β· ⭐ 920) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 - [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 180 Β· πŸ“¦ 77 Β· πŸ“‹ 37 - 27% open Β· ⏱️ 29.02.2024): ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 8.9K / month Β· πŸ“¦ 6 Β· ⏱️ 14.06.2022): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 8.9K / month): ``` pip install saliency ``` @@ -7367,7 +7456,7 @@ _Libraries that extend TensorFlow with additional capabilities._ - Keras-Preprocessing (πŸ₯‰29 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰27 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT -- tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT +- tffm (πŸ₯‰16 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7377,26 +7466,26 @@ _Libraries that extend TensorFlow with additional capabilities._ _Libraries that extend Jax with additional capabilities._ -
equinox (πŸ₯‡29 Β· ⭐ 1.7K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 +
equinox (πŸ₯‡30 Β· ⭐ 1.7K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 110 Β· πŸ“¦ 440 Β· πŸ“‹ 320 - 31% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 120 Β· πŸ“¦ 450 Β· πŸ“‹ 330 - 32% open Β· ⏱️ 01.03.2024): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 80K / month Β· πŸ“¦ 64 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 77K / month Β· πŸ“¦ 67 Β· ⏱️ 10.01.2024): ``` pip install equinox ```
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evojax (πŸ₯‰19 Β· ⭐ 750 Β· πŸ’€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 +
evojax (πŸ₯‰19 Β· ⭐ 760 Β· πŸ’€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 67 Β· πŸ“¦ 18 Β· πŸ“‹ 28 - 39% open Β· ⏱️ 29.08.2023): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 18 Β· πŸ“‹ 28 - 39% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 850 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 700 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` @@ -7419,7 +7508,7 @@ _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (πŸ₯‡36 Β· ⭐ 6.7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 1.3K Β· πŸ“¦ 25K Β· πŸ“‹ 590 - 6% open Β· ⏱️ 24.01.2024): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 1.3K Β· πŸ“¦ 25K Β· πŸ“‹ 590 - 7% open Β· ⏱️ 24.01.2024): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn @@ -7435,12 +7524,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 160 Β· πŸ“¦ 9.9K Β· πŸ“‹ 220 - 19% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 170 Β· πŸ“¦ 9.9K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 190K / month): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 180K / month Β· πŸ“¦ 24 Β· ⏱️ 23.01.2024): ``` pip install scikit-learn-intelex ``` @@ -7451,12 +7540,12 @@ _Libraries that extend scikit-learn with additional capabilities._
MLxtend (πŸ₯ˆ34 Β· ⭐ 4.7K) - A library of extension and helper modules for Pythons data.. BSD-3 -- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 840 Β· πŸ“¦ 12K Β· πŸ“‹ 460 - 27% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 840 Β· πŸ“¦ 13K Β· πŸ“‹ 480 - 30% open Β· ⏱️ 23.02.2024): ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 610K / month Β· πŸ“¦ 190 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 620K / month Β· πŸ“¦ 190 Β· ⏱️ 05.01.2024): ``` pip install mlxtend ``` @@ -7465,7 +7554,7 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge mlxtend ```
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category_encoders (πŸ₯ˆ30 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 +
category_encoders (πŸ₯ˆ31 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 400 Β· πŸ“¦ 1.5K Β· πŸ“‹ 280 - 15% open Β· ⏱️ 13.12.2023): @@ -7483,12 +7572,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-lego (πŸ₯ˆ28 Β· ⭐ 1.1K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 110 Β· πŸ“¦ 130 Β· πŸ“‹ 290 - 10% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 110 Β· πŸ“¦ 130 Β· πŸ“‹ 290 - 10% open Β· ⏱️ 09.03.2024): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 28K / month Β· πŸ“¦ 8 Β· ⏱️ 29.01.2024): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 27K / month): ``` pip install scikit-lego ``` @@ -7499,62 +7588,51 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-multilearn (πŸ₯ˆ28 Β· ⭐ 890 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 -- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 1.5K Β· πŸ“‹ 200 - 38% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 1.5K Β· πŸ“‹ 210 - 41% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 72K / month): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 76K / month Β· πŸ“¦ 25 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ```
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scikit-opt (πŸ₯‰24 Β· ⭐ 4.8K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯‰25 Β· ⭐ 4.8K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 950 Β· πŸ“¦ 180 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 19.11.2023): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 2.7K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.3K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ```
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DESlib (πŸ₯‰20 Β· ⭐ 460 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
DESlib (πŸ₯‰19 Β· ⭐ 470 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 80 Β· πŸ“¦ 45 Β· πŸ“‹ 150 - 11% open Β· ⏱️ 18.06.2023): +- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 79 Β· πŸ“¦ 45 Β· πŸ“‹ 150 - 11% open Β· ⏱️ 18.06.2023): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.2K / month): ``` pip install deslib ```
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scikit-tda (πŸ₯‰19 Β· ⭐ 480) - Topological Data Analysis for Python. MIT - -- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 52 Β· πŸ“¦ 51 Β· πŸ“‹ 21 - 66% open Β· ⏱️ 29.02.2024): - - ``` - git clone https://github.com/scikit-tda/scikit-tda - ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 2.4K / month Β· ⏱️ 03.08.2021): - ``` - pip install scikit-tda - ``` -
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Show 10 hidden projects... +
Show 11 hidden projects... - scikit-survival (πŸ₯ˆ29 Β· ⭐ 1K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (πŸ₯ˆ26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 - sklearn-crfsuite (πŸ₯ˆ26 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT -- iterative-stratification (πŸ₯‰22 Β· ⭐ 820 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 -- skope-rules (πŸ₯‰22 Β· ⭐ 580 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause +- sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 +- iterative-stratification (πŸ₯‰21 Β· ⭐ 820 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 - combo (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost -- sklearn-contrib-lightning (πŸ₯‰20 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. ❗Unlicensed +- skope-rules (πŸ₯‰20 Β· ⭐ 590 Β· πŸ’€) - machine learning with logical rules in Python. ❗Unlicensed - celer (πŸ₯‰18 Β· ⭐ 190 Β· πŸ’€) - Fast solver for L1-type problems: Lasso, sparse Logisitic.. BSD-3 +- scikit-tda (πŸ₯‰17 Β· ⭐ 480) - Topological Data Analysis for Python. ❗Unlicensed - skggm (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT - dabl (πŸ₯‰16 Β· ⭐ 130) - Data Analysis Baseline Library. BSD-3
@@ -7568,23 +7646,23 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (πŸ₯‡40 Β· ⭐ 6.7K) - A simple way to train and use PyTorch models with multi-.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 740 Β· πŸ“¦ 28K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 750 Β· πŸ“¦ 29K Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.6M / month Β· πŸ“¦ 590 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.7M / month Β· πŸ“¦ 620 Β· ⏱️ 12.03.2024): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 110K Β· ⏱️ 09.02.2024): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 110K Β· ⏱️ 13.03.2024): ``` conda install -c conda-forge accelerate ```
tinygrad (πŸ₯‡32 Β· ⭐ 23K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.5K Β· πŸ“¦ 48 Β· πŸ“‹ 520 - 18% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.5K Β· πŸ“¦ 49 Β· πŸ“‹ 540 - 17% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/geohot/tinygrad @@ -7597,7 +7675,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 400K / month Β· πŸ“¦ 31 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 440K / month Β· πŸ“¦ 31 Β· ⏱️ 16.12.2023): ``` pip install pytorch-metric-learning ``` @@ -7606,14 +7684,14 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c metric-learning pytorch-metric-learning ```
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torchdiffeq (πŸ₯‡29 Β· ⭐ 5.1K) - Differentiable ODE solvers with full GPU support and.. MIT +
torchdiffeq (πŸ₯ˆ28 Β· ⭐ 5.1K) - Differentiable ODE solvers with full GPU support and.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 880 Β· πŸ“¦ 3K Β· πŸ“‹ 210 - 32% open Β· ⏱️ 19.10.2023): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 850 Β· πŸ“¦ 3K Β· πŸ“‹ 210 - 31% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 800K / month Β· πŸ“¦ 47 Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 830K / month): ``` pip install torchdiffeq ``` @@ -7629,7 +7707,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 110K / month Β· πŸ“¦ 46 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 130K / month Β· πŸ“¦ 46 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` @@ -7640,12 +7718,12 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (πŸ₯ˆ28 Β· ⭐ 1.4K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 170 Β· πŸ“¦ 2.6K Β· πŸ“‹ 71 - 26% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 2.6K Β· πŸ“‹ 71 - 26% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.6M / month Β· πŸ“¦ 15 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.6M / month): ``` pip install torchsde ``` @@ -7661,7 +7739,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2.5K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2.4K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2022): ``` pip install lightning-flash ``` @@ -7670,22 +7748,6 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge lightning-flash ```
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TabNet (πŸ₯ˆ26 Β· ⭐ 2.4K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT - -- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 450 Β· πŸ“‹ 330 - 15% open Β· ⏱️ 23.07.2023): - - ``` - git clone https://github.com/dreamquark-ai/tabnet - ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 43K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): - ``` - pip install pytorch-tabnet - ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6.2K Β· ⏱️ 20.12.2023): - ``` - conda install -c conda-forge pytorch-tabnet - ``` -
torch-scatter (πŸ₯ˆ26 Β· ⭐ 1.4K) - PyTorch Extension Library of Optimized Scatter Operations. MIT - [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 170 Β· πŸ“‹ 360 - 7% open Β· ⏱️ 01.02.2024): @@ -7693,23 +7755,23 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 37K / month Β· πŸ“¦ 84 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 39K / month Β· πŸ“¦ 84 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 240K Β· ⏱️ 12.01.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 250K Β· ⏱️ 12.01.2024): ``` conda install -c conda-forge pytorch_scatter ```
PyTorch Sparse (πŸ₯ˆ25 Β· ⭐ 930) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 140 Β· πŸ“‹ 260 - 11% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 140 Β· πŸ“‹ 260 - 10% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 23K / month Β· πŸ“¦ 75 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 25K / month Β· πŸ“¦ 75 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` @@ -7718,14 +7780,30 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge pytorch_sparse ```
+
TabNet (πŸ₯ˆ24 Β· ⭐ 2.4K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT + +- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 450 Β· πŸ“‹ 300 - 6% open Β· ⏱️ 23.07.2023): + + ``` + git clone https://github.com/dreamquark-ai/tabnet + ``` +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 42K / month): + ``` + pip install pytorch-tabnet + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6.2K Β· ⏱️ 20.12.2023): + ``` + conda install -c conda-forge pytorch-tabnet + ``` +
Pytorch Toolbelt (πŸ₯‰23 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 13 Β· πŸ“‹ 31 - 6% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 13 Β· πŸ“‹ 31 - 6% open Β· ⏱️ 10.03.2024): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 7.4K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 6.8K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ``` @@ -7737,19 +7815,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 4.5K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 5.2K / month): ``` pip install reformer-pytorch ```
madgrad (πŸ₯‰16 Β· ⭐ 800 Β· πŸ’€) - MADGRAD Optimization Method. MIT -- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 73 Β· πŸ“‹ 11 - 9% open Β· ⏱️ 11.04.2023): +- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 74 Β· πŸ“‹ 11 - 9% open Β· ⏱️ 11.04.2023): ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.2K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -7758,23 +7836,23 @@ _Libraries that extend Pytorch with additional capabilities._ - pretrainedmodels (πŸ₯‡29 Β· ⭐ 8.9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-summary (πŸ₯ˆ28 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT -- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.7K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 -- Higher (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- EfficientNets (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 +- Higher (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - SRU (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Torchmeta (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT +- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.7K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- EfficientNets (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - Antialiased CNNs (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - pytorchviz (πŸ₯‰20 Β· ⭐ 3K Β· πŸ’€) - A small package to create visualizations of PyTorch execution graphs. MIT - Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT -- micrograd (πŸ₯‰19 Β· ⭐ 7.7K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- micrograd (πŸ₯‰19 Β· ⭐ 7.8K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - Performer Pytorch (πŸ₯‰19 Β· ⭐ 1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - Poutyne (πŸ₯‰19 Β· ⭐ 560 Β· πŸ’€) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Tez (πŸ₯‰17 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Torch-Struct (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (πŸ₯‰17 Β· ⭐ 750 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - Pywick (πŸ₯‰15 Β· ⭐ 400 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT -- TorchDrift (πŸ₯‰14 Β· ⭐ 300 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2 +- TorchDrift (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2

@@ -7794,12 +7872,12 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡50 Β· ⭐ 12K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 940K Β· πŸ“‹ 10K - 17% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 940K Β· πŸ“‹ 10K - 17% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 90M / month Β· πŸ“¦ 67K Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 94M / month Β· πŸ“¦ 67K Β· ⏱️ 20.01.2024): ``` pip install scipy ``` @@ -7808,49 +7886,49 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge scipy ```
-
Streamlit (πŸ₯‡44 Β· ⭐ 31K) - Streamlit A faster way to build and share data apps. Apache-2 +
SymPy (πŸ₯‡46 Β· ⭐ 12K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.7K Β· πŸ“¦ 320K Β· πŸ“‹ 4K - 18% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.2K Β· πŸ“₯ 540K Β· πŸ“¦ 120K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 14.03.2024): ``` - git clone https://github.com/streamlit/streamlit + git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 5.7M / month Β· πŸ“¦ 1.4K Β· ⏱️ 12.02.2024): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 18M / month Β· πŸ“¦ 5K Β· ⏱️ 10.05.2023): ``` - pip install streamlit + pip install sympy + ``` +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 5.1M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge sympy ```
-
Gradio (πŸ₯‡44 Β· ⭐ 27K) - Wrap UIs around any model, share with anyone. Apache-2 +
Streamlit (πŸ₯‡44 Β· ⭐ 31K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.9K Β· πŸ“¦ 24K Β· πŸ“‹ 3.8K - 12% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.7K Β· πŸ“¦ 330K Β· πŸ“‹ 4K - 19% open Β· ⏱️ 14.03.2024): ``` - git clone https://github.com/gradio-app/gradio + git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.9M / month Β· πŸ“¦ 320 Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 6M / month Β· πŸ“¦ 1.4K Β· ⏱️ 13.03.2024): ``` - pip install gradio + pip install streamlit ```
-
DeepChem (πŸ₯‡36 Β· ⭐ 5K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
Gradio (πŸ₯‡43 Β· ⭐ 28K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 320 Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 25K Β· πŸ“‹ 3.9K - 11% open Β· ⏱️ 14.03.2024): ``` - git clone https://github.com/deepchem/deepchem - ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 28K / month Β· πŸ“¦ 12 Β· ⏱️ 07.03.2024): - ``` - pip install deepchem + git clone https://github.com/gradio-app/gradio ``` -- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 110K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.2M / month): ``` - conda install -c conda-forge deepchem + pip install gradio ```
-
carla (πŸ₯‡35 Β· ⭐ 10K) - Open-source simulator for autonomous driving research. MIT +
carla (πŸ₯‡36 Β· ⭐ 10K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.3K Β· πŸ“¦ 650 Β· πŸ“‹ 4.9K - 21% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.3K Β· πŸ“¦ 660 Β· πŸ“‹ 4.9K - 21% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/carla-simulator/carla @@ -7860,190 +7938,194 @@ _Libraries for connecting to, operating, and querying databases._ pip install carla ```
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Datasette (πŸ₯‡35 Β· ⭐ 8.8K) - An open source multi-tool for exploring and publishing data. Apache-2 +
DeepChem (πŸ₯‡36 Β· ⭐ 5K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 610 Β· πŸ“₯ 59 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.8K - 31% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 320 Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 12.03.2024): ``` - git clone https://github.com/simonw/datasette + git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 44K / month Β· πŸ“¦ 230 Β· ⏱️ 29.02.2024): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 27K / month Β· πŸ“¦ 12 Β· ⏱️ 12.03.2024): ``` - pip install datasette + pip install deepchem ``` -- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 31K Β· ⏱️ 03.01.2024): +- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 110K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge datasette + conda install -c conda-forge deepchem ```
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PennyLane (πŸ₯‡35 Β· ⭐ 2.1K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 +
Datasette (πŸ₯‡35 Β· ⭐ 8.8K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 530 Β· πŸ“₯ 71 Β· πŸ“¦ 780 Β· πŸ“‹ 1.2K - 21% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 610 Β· πŸ“₯ 59 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.8K - 31% open Β· ⏱️ 13.03.2024): ``` - git clone https://github.com/PennyLaneAI/PennyLane + git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 55K / month Β· πŸ“¦ 72 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 44K / month Β· πŸ“¦ 230 Β· ⏱️ 13.03.2024): ``` - pip install pennylane + pip install datasette ``` -- [Conda](https://anaconda.org/conda-forge/pennylane): +- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 31K Β· ⏱️ 03.01.2024): ``` - conda install -c conda-forge pennylane + conda install -c conda-forge datasette ```
-
PyOD (πŸ₯ˆ34 Β· ⭐ 7.8K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
PyOD (πŸ₯ˆ34 Β· ⭐ 7.9K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.4K Β· πŸ“‹ 340 - 57% open Β· ⏱️ 09.02.2024): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.4K Β· πŸ“‹ 320 - 55% open Β· ⏱️ 09.02.2024): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 660K / month Β· πŸ“¦ 65 Β· ⏱️ 09.02.2024): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 660K / month): ``` pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 91K Β· ⏱️ 09.02.2024): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 92K Β· ⏱️ 09.02.2024): ``` conda install -c conda-forge pyod ```
-
agate (πŸ₯ˆ34 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT +
PennyLane (πŸ₯ˆ34 Β· ⭐ 2.1K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 150 Β· πŸ“¦ 2.9K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 73 Β· πŸ“¦ 800 Β· πŸ“‹ 1.1K - 18% open Β· ⏱️ 13.03.2024): ``` - git clone https://github.com/wireservice/agate + git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 5.6M / month Β· πŸ“¦ 150 Β· ⏱️ 21.12.2023): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 56K / month): ``` - pip install agate + pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 170K Β· ⏱️ 21.12.2023): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 36K Β· ⏱️ 12.03.2024): ``` - conda install -c conda-forge agate + conda install -c conda-forge pennylane ```
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Pythran (πŸ₯ˆ33 Β· ⭐ 2K) - Ahead of Time compiler for numeric kernels. BSD-3 +
Autograd (πŸ₯ˆ33 Β· ⭐ 6.7K) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.9K Β· πŸ“‹ 840 - 14% open Β· ⏱️ 19.02.2024): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 870 Β· πŸ“¦ 7.6K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 16.11.2023): ``` - git clone https://github.com/serge-sans-paille/pythran + git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 200K / month Β· πŸ“¦ 22 Β· ⏱️ 07.01.2024): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.3M / month Β· πŸ“¦ 330 Β· ⏱️ 23.06.2023): ``` - pip install pythran + pip install autograd ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 450K Β· ⏱️ 08.01.2024): +- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 400K Β· ⏱️ 26.06.2023): ``` - conda install -c conda-forge pythran + conda install -c conda-forge autograd ```
-
Autograd (πŸ₯ˆ32 Β· ⭐ 6.7K) - Efficiently computes derivatives of numpy code. MIT +
agate (πŸ₯ˆ32 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 860 Β· πŸ“¦ 7.5K Β· πŸ“‹ 390 - 40% open Β· ⏱️ 16.11.2023): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 150 Β· πŸ“¦ 2.9K Β· πŸ“‹ 640 - 0% open Β· ⏱️ 23.02.2024): ``` - git clone https://github.com/HIPS/autograd + git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.3M / month): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 5.8M / month): ``` - pip install autograd + pip install agate ``` -- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 400K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 170K Β· ⏱️ 21.12.2023): ``` - conda install -c conda-forge autograd + conda install -c conda-forge agate ```
PaddleHub (πŸ₯ˆ31 Β· ⭐ 12K Β· πŸ’€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 2.1K Β· πŸ“₯ 660 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 44% open Β· ⏱️ 28.03.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 2.1K Β· πŸ“₯ 670 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.3K - 44% open Β· ⏱️ 28.03.2023): ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 4.6K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.2K / month): ``` pip install paddlehub ```
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River (πŸ₯ˆ31 Β· ⭐ 4.7K) - Online machine learning in Python. BSD-3 +
hdbscan (πŸ₯ˆ31 Β· ⭐ 2.6K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“¦ 430 Β· πŸ“‹ 570 - 17% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 480 Β· πŸ“¦ 3.2K Β· πŸ“‹ 510 - 67% open Β· ⏱️ 20.11.2023): ``` - git clone https://github.com/online-ml/river + git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 34K / month Β· πŸ“¦ 32 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 410K / month Β· πŸ“¦ 230 Β· ⏱️ 20.11.2023): ``` - pip install river + pip install hdbscan ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 53K Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.8M Β· ⏱️ 06.10.2023): ``` - conda install -c conda-forge river + conda install -c conda-forge hdbscan ```
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hdbscan (πŸ₯ˆ31 Β· ⭐ 2.6K) - A high performance implementation of HDBSCAN clustering. BSD-3 +
Pythran (πŸ₯ˆ31 Β· ⭐ 2K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 480 Β· πŸ“¦ 3.2K Β· πŸ“‹ 510 - 67% open Β· ⏱️ 20.11.2023): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.9K Β· πŸ“‹ 830 - 14% open Β· ⏱️ 19.02.2024): ``` - git clone https://github.com/scikit-learn-contrib/hdbscan + git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 470K / month Β· πŸ“¦ 230 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 210K / month): ``` - pip install hdbscan + pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.8M Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 450K Β· ⏱️ 08.01.2024): ``` - conda install -c conda-forge hdbscan + conda install -c conda-forge pythran ```
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causalml (πŸ₯ˆ30 Β· ⭐ 4.7K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
River (πŸ₯ˆ30 Β· ⭐ 4.7K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 730 Β· πŸ“¦ 180 Β· πŸ“‹ 370 - 14% open Β· ⏱️ 13.02.2024): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“¦ 440 Β· πŸ“‹ 570 - 17% open Β· ⏱️ 01.03.2024): ``` - git clone https://github.com/uber/causalml + git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 85K / month Β· πŸ“¦ 1 Β· ⏱️ 22.02.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 37K / month Β· πŸ“¦ 32 Β· ⏱️ 05.12.2023): ``` - pip install causalml + pip install river + ``` +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 54K Β· ⏱️ 06.10.2023): + ``` + conda install -c conda-forge river ```
anomalib (πŸ₯ˆ30 Β· ⭐ 3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 540 Β· πŸ“₯ 7.3K Β· πŸ“¦ 55 Β· πŸ“‹ 710 - 12% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 550 Β· πŸ“₯ 7.5K Β· πŸ“¦ 55 Β· πŸ“‹ 730 - 13% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 21K / month): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 17K / month Β· πŸ“¦ 3 Β· ⏱️ 29.02.2024): ``` pip install anomalib ```
avalanche (πŸ₯ˆ30 Β· ⭐ 1.6K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 270 Β· πŸ“₯ 8 Β· πŸ“¦ 71 Β· πŸ“‹ 790 - 10% open Β· ⏱️ 29.02.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 270 Β· πŸ“₯ 14 Β· πŸ“¦ 72 Β· πŸ“‹ 800 - 10% open Β· ⏱️ 29.02.2024): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.5K / month Β· πŸ“¦ 3 Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.6K / month Β· πŸ“¦ 3 Β· ⏱️ 27.02.2024): ``` pip install avalanche-lib ```
pyjanitor (πŸ₯ˆ30 Β· ⭐ 1.3K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 560 Β· πŸ“‹ 550 - 19% open Β· ⏱️ 17.02.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 560 Β· πŸ“‹ 550 - 19% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 63K / month Β· πŸ“¦ 20 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 68K / month): ``` pip install pyjanitor ``` @@ -8059,7 +8141,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 120K / month Β· πŸ“¦ 220 Β· ⏱️ 23.01.2024): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 130K / month Β· πŸ“¦ 220 Β· ⏱️ 23.01.2024): ``` pip install pyopencl ``` @@ -8075,7 +8157,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 22K / month Β· πŸ“¦ 66 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 23K / month Β· πŸ“¦ 66 Β· ⏱️ 02.02.2024): ``` pip install datalad ``` @@ -8084,44 +8166,48 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datalad ```
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pandas-ai (πŸ₯ˆ29 Β· ⭐ 10K) - Chat with your data (SQL, CSV, pandas, polars, noSQL, etc). PandasAI.. MIT +
causalml (πŸ₯ˆ29 Β· ⭐ 4.7K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/Sinaptik-AI/pandas-ai) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 880 Β· πŸ“¦ 2.7K Β· πŸ“‹ 500 - 41% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 730 Β· πŸ“¦ 180 Β· πŸ“‹ 370 - 14% open Β· ⏱️ 08.03.2024): ``` - git clone https://github.com/gventuri/pandas-ai + git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/pandas-ai): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 88K / month Β· πŸ“¦ 1 Β· ⏱️ 22.02.2024): ``` - pip install pandas-ai + pip install causalml ```
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kmodes (πŸ₯ˆ29 Β· ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT +
tensorly (πŸ₯ˆ29 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 410 Β· πŸ“¦ 2.5K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 270 Β· πŸ“¦ 600 Β· πŸ“‹ 250 - 23% open Β· ⏱️ 12.03.2024): ``` - git clone https://github.com/nicodv/kmodes + git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 320K / month): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 18K / month Β· πŸ“¦ 55 Β· ⏱️ 08.03.2023): ``` - pip install kmodes + pip install tensorly ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge kmodes + conda install -c conda-forge tensorly ```
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PySwarms (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT +
kmodes (πŸ₯ˆ29 Β· ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT -- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 330 Β· πŸ“¦ 350 Β· πŸ“‹ 220 - 10% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 2.5K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): ``` - git clone https://github.com/ljvmiranda921/pyswarms + git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 21K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 360K / month Β· πŸ“¦ 34 Β· ⏱️ 06.09.2022): ``` - pip install pyswarms + pip install kmodes + ``` +- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge kmodes ```
Prince (πŸ₯ˆ28 Β· ⭐ 1.2K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT @@ -8147,7 +8233,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 84K / month Β· πŸ“¦ 34 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 75K / month Β· πŸ“¦ 34 Β· ⏱️ 25.11.2020): ``` pip install pyclustering ``` @@ -8158,12 +8244,12 @@ _Libraries for connecting to, operating, and querying databases._
pysc2 (πŸ₯‰27 Β· ⭐ 7.9K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 -- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 700 Β· πŸ“‹ 280 - 17% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.1K Β· πŸ“₯ 31K Β· πŸ“¦ 710 Β· πŸ“‹ 280 - 17% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/deepmind/pysc2 ``` -- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 1.6K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): +- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 2.3K / month): ``` pip install pysc2 ``` @@ -8200,40 +8286,40 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge metric-learn ```
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AugLy (πŸ₯‰26 Β· ⭐ 4.9K) - A data augmentations library for audio, image, text, and video. MIT +
PySwarms (πŸ₯‰27 Β· ⭐ 1.2K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 290 Β· πŸ“¦ 100 Β· πŸ“‹ 76 - 28% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 330 Β· πŸ“¦ 350 Β· πŸ“‹ 220 - 10% open Β· ⏱️ 06.06.2023): ``` - git clone https://github.com/facebookresearch/AugLy + git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 18K / month): ``` - pip install augly + pip install pyswarms ```
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adapter-transformers (πŸ₯‰26 Β· ⭐ 2.3K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface +
AugLy (πŸ₯‰26 Β· ⭐ 4.9K) - A data augmentations library for audio, image, text, and video. MIT -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 22 Β· πŸ“‹ 360 - 12% open Β· ⏱️ 28.02.2024): +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 290 Β· πŸ“¦ 100 Β· πŸ“‹ 76 - 28% open Β· ⏱️ 07.03.2024): ``` - git clone https://github.com/Adapter-Hub/adapter-transformers + git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 19K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` - pip install adapter-transformers + pip install augly ```
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modAL (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - A modular active learning framework for Python. MIT +
adapter-transformers (πŸ₯‰26 Β· ⭐ 2.3K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 310 Β· πŸ“₯ 29 Β· πŸ“‹ 150 - 63% open Β· ⏱️ 01.06.2023): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 24 Β· πŸ“‹ 360 - 12% open Β· ⏱️ 28.02.2024): ``` - git clone https://github.com/modAL-python/modAL + git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 310K / month Β· πŸ“¦ 13 Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 20K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2023): ``` - pip install modAL + pip install adapter-transformers ```
pycm (πŸ₯‰26 Β· ⭐ 1.4K Β· πŸ’€) - Multi-class confusion matrix library in Python. MIT @@ -8243,55 +8329,55 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 51K / month Β· πŸ“¦ 18 Β· ⏱️ 07.06.2023): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 54K / month): ``` pip install pycm ```
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dstack (πŸ₯‰26 Β· ⭐ 1K) - dstack is an open-source engine for running GPU workloads. It simplifies.. MPL-2.0 +
dstack (πŸ₯‰26 Β· ⭐ 1K) - An open-source engine that automates AI infrastructure provisioning on.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 69 Β· πŸ“¦ 14 Β· πŸ“‹ 530 - 6% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 71 Β· πŸ“¦ 14 Β· πŸ“‹ 560 - 10% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 3K / month Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 2.8K / month Β· ⏱️ 14.03.2024): ``` pip install dstack ```
Trax (πŸ₯‰25 Β· ⭐ 7.9K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 140 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 800 Β· πŸ“¦ 140 Β· πŸ“‹ 230 - 46% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 3.3K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 3.5K / month): ``` pip install trax ```
Mars (πŸ₯‰25 Β· ⭐ 2.7K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 -- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 310 Β· πŸ“‹ 1.2K - 17% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 320 Β· πŸ“‹ 1.2K - 16% open Β· ⏱️ 02.11.2023): ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 45K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 45K / month): ``` pip install pymars ```
gplearn (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 -- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 260 Β· πŸ“¦ 510 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 260 Β· πŸ“¦ 520 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5.4K / month Β· πŸ“¦ 17 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5.9K / month): ``` pip install gplearn ``` @@ -8302,33 +8388,29 @@ _Libraries for connecting to, operating, and querying databases._
MONAILabel (πŸ₯‰23 Β· ⭐ 520) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 170 Β· πŸ“₯ 73K Β· πŸ“‹ 490 - 20% open Β· ⏱️ 24.01.2024): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 170 Β· πŸ“₯ 74K Β· πŸ“‹ 490 - 21% open Β· ⏱️ 24.01.2024): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.7K / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.5K / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ```
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AstroML (πŸ₯‰22 Β· ⭐ 1K) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 +
modAL (πŸ₯‰22 Β· ⭐ 2.1K Β· πŸ’€) - A modular active learning framework for Python. MIT -- [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 290 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 310 Β· πŸ“₯ 31 Β· πŸ“‹ 140 - 60% open Β· ⏱️ 01.06.2023): ``` - git clone https://github.com/astroML/astroML - ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.6K / month Β· πŸ“¦ 37 Β· ⏱️ 01.03.2022): - ``` - pip install astroML + git clone https://github.com/modAL-python/modAL ``` -- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 270K / month): ``` - conda install -c conda-forge astroml + pip install modAL ```
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BioPandas (πŸ₯‰22 Β· ⭐ 660) - Working with molecular structures in pandas DataFrames. BSD-3 +
BioPandas (πŸ₯‰22 Β· ⭐ 670) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“¦ 230 Β· πŸ“‹ 57 - 42% open Β· ⏱️ 19.09.2023): @@ -8346,7 +8428,7 @@ _Libraries for connecting to, operating, and querying databases._
SUOD (πŸ₯‰22 Β· ⭐ 370) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 -- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 48 Β· πŸ“¦ 500 Β· πŸ“‹ 14 - 78% open Β· ⏱️ 08.02.2024): +- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 48 Β· πŸ“¦ 500 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 08.02.2024): ``` git clone https://github.com/yzhao062/SUOD @@ -8356,30 +8438,46 @@ _Libraries for connecting to, operating, and querying databases._ pip install suod ```
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rrcf (πŸ₯‰21 Β· ⭐ 470 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT +
rrcf (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 110 Β· πŸ“¦ 60 Β· πŸ“‹ 47 - 55% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.3K / month Β· πŸ“¦ 8 Β· ⏱️ 30.04.2023): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.2K / month Β· πŸ“¦ 8 Β· ⏱️ 30.04.2023): ``` pip install rrcf ```
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.6K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 140 Β· πŸ“¦ 20 Β· πŸ“‹ 53 - 28% open Β· ⏱️ 21.01.2024): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 140 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 30% open Β· ⏱️ 21.01.2024): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 1.6K / month): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 1.4K / month Β· ⏱️ 06.09.2023): ``` pip install pythae ```
+
AstroML (πŸ₯‰19 Β· ⭐ 1K Β· πŸ“‰) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 + +- [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 290 Β· πŸ“‹ 160 - 37% open Β· ⏱️ 04.01.2024): + + ``` + git clone https://github.com/astroML/astroML + ``` +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.7K / month): + ``` + pip install astroML + ``` +- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge astroml + ``` +
pykale (πŸ₯‰18 Β· ⭐ 420) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT - [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 60 Β· πŸ“¦ 1 Β· πŸ“‹ 120 - 7% open Β· ⏱️ 10.01.2024): @@ -8387,31 +8485,31 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 130 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 110 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
pymdp (πŸ₯‰18 Β· ⭐ 370) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 63 Β· πŸ“¦ 9 Β· πŸ“‹ 34 - 26% open Β· ⏱️ 11.02.2024): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 64 Β· πŸ“¦ 9 Β· πŸ“‹ 40 - 37% open Β· ⏱️ 11.02.2024): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 180 / month): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 210 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ```
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NeuralCompression (πŸ₯‰16 Β· ⭐ 450) - A collection of tools for neural compression enthusiasts. MIT +
NeuralCompression (πŸ₯‰17 Β· ⭐ 450) - A collection of tools for neural compression enthusiasts. MIT -- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 42 Β· πŸ“‹ 68 - 5% open Β· ⏱️ 09.02.2024): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 41 Β· πŸ“‹ 68 - 5% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 150 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 160 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ``` @@ -8423,31 +8521,30 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 49 / month Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 41 / month Β· ⏱️ 18.05.2022): ``` pip install KD-Lib ```
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Show 20 hidden projects... +
Show 19 hidden projects... -- SymPy (πŸ₯‡44 Β· ⭐ 12K) - A computer algebra system written in pure Python. ❗Unlicensed -- cleanlab (πŸ₯ˆ31 Β· ⭐ 8K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 +- cleanlab (πŸ₯ˆ31 Β· ⭐ 8.1K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - alibi-detect (πŸ₯ˆ28 Β· ⭐ 2K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel - minisom (πŸ₯ˆ28 Β· ⭐ 1.4K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - Cython BLIS (πŸ₯ˆ28 Β· ⭐ 210) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 -- tensorly (πŸ₯‰27 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. ❗Unlicensed +- pandas-ai (πŸ₯‰27 Β· ⭐ 10K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. ❗Unlicensed - metricflow (πŸ₯‰26 Β· ⭐ 1.1K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - findspark (πŸ₯‰24 Β· ⭐ 510 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 -- Feature Engine (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 - opyrator (πŸ₯‰22 Β· ⭐ 3K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - mlens (πŸ₯‰22 Β· ⭐ 820 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT -- vecstack (πŸ₯‰21 Β· ⭐ 680 Β· πŸ’€) - Python package for stacking (machine learning technique). ❗Unlicensed -- apricot (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT +- vecstack (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT +- apricot (πŸ₯‰21 Β· ⭐ 490 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT - impyute (πŸ₯‰21 Β· ⭐ 340 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 -- scikit-rebate (πŸ₯‰20 Β· ⭐ 390 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT - baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 -- pandas-ml (πŸ₯‰18 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 +- scikit-rebate (πŸ₯‰16 Β· ⭐ 390 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT +- pandas-ml (πŸ₯‰16 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 +- Feature Engine (πŸ₯‰15 Β· ⭐ 44 Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 - traingenerator (πŸ₯‰13 Β· ⭐ 1.3K Β· πŸ’€) - A web app to generate template code for machine learning. MIT - nylon (πŸ₯‰12 Β· ⭐ 84 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
diff --git a/history/2024-03-14_changes.md b/history/2024-03-14_changes.md new file mode 100644 index 0000000..6c650fb --- /dev/null +++ b/history/2024-03-14_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- PySpark (πŸ₯‡45 Β· ⭐ 38K Β· πŸ“ˆ) - Apache Spark Python API. Apache-2 +- PyFlink (πŸ₯ˆ38 Β· ⭐ 23K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 +- Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ“ˆ) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +- ivy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 +- UMAP (πŸ₯ˆ32 Β· ⭐ 6.8K Β· πŸ“ˆ) - Uniform Manifold Approximation and Projection. BSD-3 +- ftfy (πŸ₯ˆ32 Β· ⭐ 3.7K Β· πŸ“ˆ) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 +- langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - The friendly PIL fork. ❗️PIL +- DeepMatcher (πŸ₯‰22 Β· ⭐ 5K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 +- sklearn-evaluation (πŸ₯‰19 Β· ⭐ 430 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- Matplotlib (πŸ₯‡48 Β· ⭐ 19K Β· πŸ“‰) - matplotlib: plotting with Python. ❗Unlicensed +- pygal (πŸ₯ˆ24 Β· ⭐ 2.6K Β· πŸ“‰) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.7K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- HiPlot (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT +- modAL (πŸ₯‰22 Β· ⭐ 2.1K Β· πŸ’€) - A modular active learning framework for Python. MIT +- AstroML (πŸ₯‰19 Β· ⭐ 1K Β· πŸ“‰) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 +- scikit-rebate (πŸ₯‰16 Β· ⭐ 390 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT +- analytics-zoo (πŸ₯‰16 Β· ⭐ 3 Β· πŸ“‰) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 +- Feature Engine (πŸ₯‰15 Β· ⭐ 44 Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 +- nptsne (πŸ₯‰10 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 + diff --git a/history/2024-03-14_projects.csv b/history/2024-03-14_projects.csv new file mode 100644 index 0000000..07b0cf8 --- /dev/null +++ b/history/2024-03-14_projects.csv @@ -0,0 +1,918 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,projectrank_placing,github_release_downloads,trending,helm_id,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,snap_id,dnf_id,yay_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-03-08 05:50:03.000000,2024-03-01 08:00:08,1539.0,4.0,658.0,115.0,312.0,54.0,134.0,4445.0,Benchmarks of approximate nearest neighbor libraries in Python.,99.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-03-07 16:25:02.000000,2024-03-07 16:25:01,317.0,27.0,158.0,54.0,188.0,,3.0,2135.0,Collection of web-scraping and crawling libraries.,14.0,0,True,2024-03-07 16:25:09.000,2024.03.07,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-03-14 13:40:13.000000,2024-03-07 14:32:44,333.0,25.0,225.0,87.0,187.0,4.0,5.0,3346.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-03-07 14:32:51.000,2024.03.07,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-03-14 13:40:13.000000,2024-03-07 14:32:44,333.0,25.0,225.0,87.0,187.0,4.0,5.0,3346.0,Collection of database clients for python.,12.0,0,True,2024-03-07 14:32:51.000,2024.03.07,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-03-14 13:40:13.000000,2024-03-07 14:32:44,333.0,25.0,225.0,87.0,187.0,4.0,5.0,3346.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-03-07 14:32:51.000,2024.03.07,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-03-14 13:40:13.000000,2024-03-07 14:32:44,333.0,25.0,225.0,87.0,187.0,4.0,5.0,3346.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-03-07 14:32:51.000,2024.03.07,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-03-14 14:12:58.000000,2024-03-14 13:22:08,161541.0,4059.0,73741.0,7650.0,24247.0,2219.0,36929.0,181282.0,An Open Source Machine Learning Framework for Everyone.,4567.0,56,True,2024-03-08 23:51:46.000,2.15.1,193.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],365653.0,350065.0,https://pypi.org/project/tensorflow,2024-03-09 00:23:14.000,15588.0,21224553.0,21546337.0,https://anaconda.org/conda-forge/tensorflow,2024-01-30 00:38:25.304,4504983.0,https://hub.docker.com/r/tensorflow/tensorflow,1.0,,,,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-03-14 14:08:07.000000,2024-03-14 13:35:15,70561.0,3054.0,20467.0,1693.0,81104.0,13530.0,27697.0,76516.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4714.0,54,True,2024-02-22 21:15:00.000,2.2.1,50.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],419303.0,406685.0,https://pypi.org/project/torch,2024-02-22 19:14:18.000,12618.0,20974347.0,21656838.0,https://anaconda.org/pytorch/pytorch,2024-02-21 17:09:02.139,20462832.0,,1.0,35767.0,,,,,,,,,,,,,,,,,,,,,, +8,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2024-03-14 14:00:02.000000,2024-03-13 18:12:42,31102.0,356.0,25151.0,2146.0,16942.0,2292.0,9106.0,57652.0,scikit-learn: machine learning in Python.,3088.0,51,True,2024-02-15 16:07:32.000,1.4.1.post1,76.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],752808.0,721306.0,https://pypi.org/project/scikit-learn,2024-02-16 08:56:53.000,31502.0,59208130.0,59783315.0,https://anaconda.org/conda-forge/scikit-learn,2024-02-16 10:16:19.766,26458108.0,,1.0,942.0,,,,,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-03-14 14:29:29.000000,2024-03-14 11:30:19,15354.0,592.0,24213.0,1088.0,15014.0,1022.0,13498.0,122083.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2468.0,50,True,2024-03-01 03:24:28.000,4.38.2,134.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",149943.0,146898.0,https://pypi.org/project/transformers,2024-03-01 03:24:16.000,3045.0,22133209.0,22168145.0,https://anaconda.org/conda-forge/transformers,2024-03-01 15:53:31.135,1537200.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-03-14 11:28:27.000000,2024-03-14 11:28:27,31754.0,508.0,5010.0,347.0,10443.0,1814.0,8278.0,12288.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1597.0,50,True,2024-01-20 22:00:44.000,1.12.0,99.0,scipy,conda-forge/scipy,,,,1010430.0,943331.0,https://pypi.org/project/scipy,2024-01-20 21:10:31.000,67099.0,93699887.0,94840300.0,https://anaconda.org/conda-forge/scipy,2024-01-24 03:11:41.395,45464256.0,,1.0,395953.0,,,,,,,,,,,,,,,,,,,,,, +11,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2024-03-14 12:30:27.000000,2024-03-14 12:30:26,49916.0,549.0,7188.0,594.0,17780.0,1168.0,8948.0,18999.0,matplotlib: plotting with Python.,1655.0,48,True,2024-02-16 09:23:20.000,3.7.5,82.0,matplotlib,conda-forge/matplotlib,,,,1119129.0,1119129.0,https://pypi.org/project/matplotlib,,,59759500.0,60248253.0,https://anaconda.org/conda-forge/matplotlib,2024-02-15 20:37:52.070,21993902.0,,1.0,,-2.0,,,,,,,,,,,,,,,,,,,,, +12,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-03-14 13:49:17.000000,2024-03-14 12:02:19,17360.0,606.0,1975.0,223.0,4700.0,72.0,2950.0,11566.0,Python Imaging Library (Fork).,463.0,48,True,2024-01-02 09:38:41.000,10.2.0,54.0,Pillow,conda-forge/pillow,,,,1572245.0,1572245.0,https://pypi.org/project/Pillow,,,89667644.0,90497296.0,https://anaconda.org/conda-forge/pillow,2024-01-03 04:54:52.877,36504725.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +13,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-03-14 11:30:43.000000,2024-03-13 15:44:09,10374.0,201.0,19306.0,1910.0,6981.0,216.0,11450.0,60638.0,Deep Learning for humans.,1281.0,47,True,2024-03-11 16:04:05.000,3.1.0,91.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],767.0,,https://pypi.org/project/keras,2024-02-14 22:35:35.000,767.0,17269540.0,17344984.0,https://anaconda.org/conda-forge/keras,2024-02-15 07:10:55.798,3394986.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +14,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-03-14 14:04:32.000000,2024-03-14 14:04:31,57313.0,519.0,4214.0,294.0,13019.0,4933.0,8691.0,11941.0,A computer algebra system written in pure Python.,1283.0,46,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,123170.0,118205.0,https://pypi.org/project/sympy,2023-05-10 18:24:09.226,4965.0,18214420.0,18272505.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,5066774.0,,1.0,535569.0,,,,,,,,,,,,,,,,,,,,,, +15,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-03-14 14:07:31.000000,2024-03-14 13:25:17,40153.0,931.0,27836.0,2033.0,45489.0,190.0,,38053.0,Apache Spark Python API.,3030.0,45,True,2024-02-26 02:41:49.000,3.5.1,43.0,pyspark,conda-forge/pyspark,,,['spark'],1297.0,,https://pypi.org/project/pyspark,2024-02-26 02:41:49.000,1297.0,29350288.0,29417349.0,https://anaconda.org/conda-forge/pyspark,2024-03-03 13:07:40.821,3017780.0,,1.0,,7.0,stable/spark,,,,,,,,,,,,,,,,,,,, +16,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-03-14 14:01:20.000000,2024-03-14 11:31:16,19781.0,1121.0,2437.0,321.0,12752.0,1604.0,3747.0,27031.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",658.0,45,True,2024-02-26 16:01:19.000,jax-v0.4.25,159.0,jax,conda-forge/jaxlib,,,,23690.0,22821.0,https://pypi.org/project/jax,2024-02-26 15:54:03.000,869.0,5857811.0,5881531.0,https://anaconda.org/conda-forge/jaxlib,2024-03-13 02:26:06.433,1067422.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +17,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-03-14 10:04:09.000000,2024-03-14 01:53:04,10210.0,202.0,3182.0,249.0,10009.0,648.0,6152.0,26460.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",935.0,45,True,2024-03-04 18:59:32.000,2.2.1,268.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],30614.0,29808.0,https://pypi.org/project/pytorch-lightning,2024-03-04 18:59:32.000,806.0,4797392.0,4821302.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-03-05 21:00:43.443,1064745.0,,1.0,8737.0,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,,,,, +18,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-03-14 11:23:55.000000,2024-03-13 09:02:34,6783.0,104.0,8646.0,909.0,5012.0,426.0,4740.0,25408.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",637.0,45,True,2023-12-19 21:59:17.000,2.0.3,80.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,85685.0,83835.0,https://pypi.org/project/xgboost,2023-12-19 21:59:17.000,1850.0,17242699.0,17346873.0,https://anaconda.org/conda-forge/xgboost,2024-01-19 09:21:22.082,4580750.0,,1.0,8156.0,,,,,,,,,,,,,,,,,,,,,, +19,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-03-14 13:25:44.000000,2024-03-14 12:40:29,47339.0,1847.0,5375.0,721.0,44694.0,1841.0,16847.0,21456.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1169.0,45,True,2024-01-08 06:43:49.000,2.6.0,66.0,paddlepaddle,,,,['paddle'],4857.0,4763.0,https://pypi.org/project/paddlepaddle,2023-12-26 06:45:52.000,94.0,263934.0,264102.0,,,,,1.0,15369.0,,,,,,,,,,,,,,,,,,,,,, +20,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-03-14 07:49:41.000000,2024-03-14 07:49:40,20426.0,90.0,4150.0,443.0,6006.0,757.0,6847.0,18665.0,"Interactive Data Visualization in the browser, from Python.",688.0,45,True,2024-01-25 18:45:35.000,3.3.4,197.0,bokeh,conda-forge/bokeh,,,,88723.0,84893.0,https://pypi.org/project/bokeh,2024-03-08 23:07:48.000,3830.0,4702275.0,5001563.0,https://anaconda.org/conda-forge/bokeh,2024-01-25 20:54:18.325,13468000.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +21,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-03-14 02:50:10.000000,2024-02-28 12:40:58,15260.0,80.0,2825.0,280.0,3851.0,2701.0,2740.0,9397.0,Statsmodels: statistical modeling and econometrics in Python.,423.0,45,True,2023-12-14 14:50:21.000,0.14.1,36.0,statsmodels,conda-forge/statsmodels,,,,123174.0,117538.0,https://pypi.org/project/statsmodels,2023-12-14 14:50:21.000,5636.0,15260678.0,15535464.0,https://anaconda.org/conda-forge/statsmodels,2023-12-14 18:03:00.804,12365384.0,,1.0,30.0,,,,,,,,,,,,,,,,,,,,,, +22,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-03-14 12:44:56.000000,2024-03-14 02:10:09,6167.0,187.0,2727.0,309.0,4212.0,761.0,3243.0,30721.0,Streamlit A faster way to build and share data apps.,222.0,44,True,2024-03-12 17:28:36.000,1.32.1,218.0,streamlit,,,,,330592.0,329147.0,https://pypi.org/project/streamlit,2024-03-13 23:17:16.000,1445.0,5987873.0,5987873.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +23,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-03-14 14:30:37.000000,2024-03-14 14:14:53,21018.0,836.0,5096.0,471.0,26713.0,3609.0,13886.0,30348.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,985.0,44,True,2024-02-22 19:57:55.000,ray-2.9.3,99.0,ray,conda-forge/ray-tune,,,,14660.0,14180.0,https://pypi.org/project/ray,2024-02-22 19:42:56.000,480.0,3424715.0,3429596.0,https://anaconda.org/conda-forge/ray-tune,2024-03-07 01:45:05.697,190289.0,,1.0,208.0,,,,,,,,,,,,,,,,,,,,,, +24,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-03-07 13:56:38.000000,2024-02-20 12:17:51,16117.0,28.0,4395.0,554.0,3965.0,94.0,5479.0,28437.0,Industrial-strength Natural Language Processing (NLP) in Python.,748.0,44,True,2024-02-15 19:16:59.000,3.7.4,229.0,spacy,conda-forge/spacy,,,,85506.0,82484.0,https://pypi.org/project/spacy,2024-02-15 18:47:21.000,3022.0,6515447.0,6589731.0,https://anaconda.org/conda-forge/spacy,2023-11-05 20:08:03.012,3342797.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +25,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-03-14 12:38:18.000000,2024-03-14 08:45:48,5571.0,419.0,3874.0,292.0,7698.0,1377.0,2371.0,16945.0,Open source platform for the machine learning lifecycle.,707.0,44,True,2024-03-06 08:35:11.000,2.11.1,92.0,mlflow,conda-forge/mlflow,,,,32398.0,31830.0,https://pypi.org/project/mlflow,2024-03-06 07:13:34.000,568.0,14736771.0,14776020.0,https://anaconda.org/conda-forge/mlflow,2024-03-08 02:03:24.341,1766233.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +26,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-03-14 14:07:31.000000,2024-03-13 17:05:06,6380.0,114.0,2471.0,281.0,1616.0,1487.0,1396.0,15002.0,The interactive graphing library for Python This project now includes Plotly Express!.,257.0,44,True,2024-03-13 16:27:36.000,5.20.0,296.0,plotly,conda-forge/plotly,,,,252928.0,247186.0,https://pypi.org/project/plotly,2024-03-13 16:21:20.000,5735.0,13550076.0,13674098.0,https://anaconda.org/conda-forge/plotly,2024-02-15 18:15:23.292,5340678.0,,1.0,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,7.0,7921.0,,,,,,,,,,,,,, +27,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-03-14 09:11:29.000000,2024-03-13 16:42:43,7637.0,106.0,3172.0,276.0,3695.0,345.0,2972.0,14003.0,Network Analysis in Python.,712.0,44,True,2023-10-28 09:53:23.000,networkx-3.2.1,92.0,networkx,conda-forge/networkx,,,,247165.0,231805.0,https://pypi.org/project/networkx,2023-10-28 08:41:36.000,15360.0,48828481.0,49174890.0,https://anaconda.org/conda-forge/networkx,2023-10-28 14:55:59.129,14895609.0,,1.0,65.0,,,,,,,,,,,,,,,,,,,,,, +28,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-03-14 09:41:11.000000,2024-03-13 01:20:07,8133.0,182.0,1659.0,212.0,5760.0,1049.0,4122.0,11879.0,Parallel computing with task scheduling.,595.0,44,True,2024-03-12 10:19:17.000,2024.3.0,191.0,dask,conda-forge/dask,,,,61257.0,58093.0,https://pypi.org/project/dask,2024-03-12 10:19:17.000,3164.0,7225691.0,7460310.0,https://anaconda.org/conda-forge/dask,2024-03-13 10:03:38.154,10792516.0,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,,, +29,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-03-04 05:08:14.000000,2024-02-25 16:31:25,3230.0,17.0,1770.0,259.0,1091.0,122.0,2357.0,11792.0,Statistical data visualization in Python.,211.0,44,True,2024-01-25 13:21:20.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,375690.0,375690.0,https://pypi.org/project/seaborn,,,17474056.0,17655494.0,https://anaconda.org/conda-forge/seaborn,2024-01-27 07:37:15.644,8164602.0,,1.0,376.0,,,,,,,,,,,,,,,,,,,,,, +30,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-03-14 07:08:19.000000,2024-03-12 18:49:47,5783.0,49.0,1617.0,193.0,4942.0,655.0,1224.0,6494.0,TensorFlows Visualization Toolkit.,316.0,44,True,2024-02-16 19:56:55.000,2.16.2,60.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],223155.0,220176.0,https://pypi.org/project/tensorboard,2024-02-16 19:56:55.000,2979.0,27050601.0,27151328.0,https://anaconda.org/conda-forge/tensorboard,2024-02-18 19:53:36.212,4532724.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +31,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-03-14 14:41:11.000000,2024-03-14 14:37:51,6381.0,341.0,1985.0,151.0,3453.0,451.0,3411.0,27530.0,"Wrap UIs around any model, share with anyone.",265.0,43,True,2024-03-09 00:41:17.000,@gradio/wasm@0.8.0,100.0,gradio,,,,,24886.0,24886.0,https://pypi.org/project/gradio,,,6219653.0,6219653.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +32,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-03-14 14:15:25.000000,2024-03-13 05:57:07,2689.0,79.0,3583.0,438.0,3150.0,306.0,2379.0,16579.0,Open standard for machine learning interoperability.,309.0,43,True,2023-10-31 17:04:56.000,1.15.0,31.0,onnx,conda-forge/onnx,,,,25574.0,24866.0,https://pypi.org/project/onnx,2023-10-26 18:30:51.000,708.0,5261825.0,5282818.0,https://anaconda.org/conda-forge/onnx,2024-03-13 23:35:28.732,932944.0,,1.0,20126.0,,,,,,,,,,,,,,,,,,,,,, +33,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-03-11 11:25:18.000000,2024-03-04 18:06:08,3435.0,44.0,3795.0,435.0,3092.0,345.0,2923.0,15927.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",296.0,43,True,2024-01-26 03:29:02.000,4.3.0,36.0,lightgbm,conda-forge/lightgbm,,,,31481.0,30605.0,https://pypi.org/project/lightgbm,2024-01-26 03:29:02.000,876.0,8296747.0,8351902.0,https://anaconda.org/conda-forge/lightgbm,2024-01-26 13:26:41.503,2207216.0,,2.0,216098.0,,,,,,,,,,,,,,,,,,,,,, +34,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-03-11 14:42:17.000000,2024-01-29 09:04:39,14509.0,27.0,2832.0,468.0,1452.0,266.0,1513.0,12894.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,454.0,43,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,270425.0,257445.0,https://pypi.org/project/nltk,2023-07-20 15:52:53.307,12980.0,16900775.0,16927495.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2431548.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +35,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-03-14 13:45:51.000000,2024-03-14 12:29:02,4753.0,159.0,2017.0,1693.0,4598.0,297.0,2644.0,11600.0,WebGL2 powered visualization framework.,253.0,43,True,2024-02-28 21:43:30.387,8.9.35,636.0,pydeck,conda-forge/pydeck,,,['jupyter'],7827.0,7270.0,https://pypi.org/project/pydeck,2023-04-15 06:29:01.705,59.0,3135137.0,3571871.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,484314.0,,1.0,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-03-13 10:54:21.833,498.0,426851.0,,,,,,,,,,,,,, +36,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2024-03-14 15:19:21.000000,2024-03-14 06:31:55,1895.0,340.0,1129.0,177.0,2179.0,459.0,618.0,10337.0,Development repository for the Triton language and compiler.,227.0,43,True,2024-01-10 03:11:56.000,2.2.0,192.0,triton,,,,,19510.0,19410.0,https://pypi.org/project/triton,2024-01-10 03:11:56.000,100.0,9830458.0,9830458.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +37,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-03-14 13:22:52.000000,2024-03-13 22:33:44,2206.0,215.0,3742.0,318.0,2603.0,972.0,1551.0,31848.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",292.0,42,True,2024-03-08 01:11:46.000,0.14.0,88.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],6191.0,6088.0,https://pypi.org/project/deepspeed,2024-03-08 01:11:46.000,103.0,477706.0,478061.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,1.0,,,,,,,,,,2022-09-02 00:25:31.275782,4.0,17794.0,,,,,,,,,,, +38,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-03-14 12:56:35.000000,2024-03-14 10:25:03,13874.0,86.0,2123.0,186.0,4364.0,537.0,2053.0,5816.0,Image processing in Python.,654.0,42,False,2023-10-03 21:36:37.000,0.22.0,23.0,scikit-image,conda-forge/scikit-image,,,,173074.0,173074.0,https://pypi.org/project/scikit-image,,,15583809.0,15717261.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,6005347.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +39,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2024-03-14 09:46:18.000000,2024-03-13 20:24:03,2176.0,59.0,4414.0,310.0,446.0,70.0,774.0,29136.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",130.0,41,True,2024-02-19 19:35:21.000,0.9.16,55.0,timm,conda-forge/timm,,,['pytorch'],24423.0,24423.0,https://pypi.org/project/timm,,,4659863.0,4770942.0,https://anaconda.org/conda-forge/timm,2024-02-21 16:25:26.726,125651.0,,1.0,6277015.0,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,,,,, +40,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-03-14 13:57:22.000000,2024-03-14 10:39:04,19290.0,648.0,2699.0,295.0,19237.0,612.0,9711.0,25997.0,"A cloud-native vector database, storage for next generation AI applications.",265.0,41,True,2024-03-13 09:45:46.000,2.3.7,100.0,pymilvus,,milvusdb/milvus,,,88.0,,https://pypi.org/project/pymilvus,2024-03-13 09:45:46.000,88.0,731644.0,952741.0,,,,https://hub.docker.com/r/milvusdb/milvus,1.0,77622.0,,,,,,,,,2024-03-14 12:58:18.178921,42.0,11659859.0,,,,,,,,,,, +41,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-03-14 13:25:54.000000,2024-03-11 08:45:50,2639.0,57.0,3124.0,243.0,841.0,1348.0,1068.0,21328.0,A game theoretic approach to explain the output of any machine learning model.,236.0,41,True,2024-03-08 11:55:08.000,0.45.0,102.0,shap,conda-forge/shap,,,,16679.0,16204.0,https://pypi.org/project/shap,2024-03-08 11:55:08.000,475.0,7974115.0,8035092.0,https://anaconda.org/conda-forge/shap,2024-03-12 17:37:09.107,2378111.0,,1.0,,,,shap/shap,,,,,,,,,,,,,,,,,,, +42,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-03-14 10:16:58.000000,2024-03-08 14:23:14,7344.0,256.0,1933.0,418.0,1041.0,776.0,881.0,20266.0,Data Apps & Dashboards for Python. No JavaScript Required.,148.0,41,True,2024-03-06 20:00:34.000,2.16.1,106.0,dash,conda-forge/dash,,,,59602.0,59602.0,https://pypi.org/project/dash,,,2876838.0,2903734.0,https://anaconda.org/conda-forge/dash,2024-03-10 12:59:07.948,1210315.0,,1.0,70.0,,,,,,,,,,,,,,,,,,,,,, +43,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-03-14 09:35:17.000000,2024-03-14 09:35:17,9232.0,119.0,1129.0,134.0,5407.0,300.0,4295.0,12981.0,ML Experiments Management with Git.,291.0,41,True,2024-03-11 15:04:18.000,3.48.4,520.0,dvc,conda-forge/dvc,,,,13612.0,13517.0,https://pypi.org/project/dvc,2024-03-11 15:04:18.000,95.0,542907.0,585873.0,https://anaconda.org/conda-forge/dvc,2024-03-11 20:26:08.093,1772386.0,,1.0,42968.0,,,,,,,,,,,,dvc,dvc,dvc,,,,,,,, +44,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-03-13 20:06:15.000000,2024-03-13 02:54:00,3631.0,23.0,723.0,141.0,1331.0,163.0,1754.0,8822.0,Declarative statistical visualization library for Python.,162.0,41,True,2023-11-28 06:23:39.000,5.2.0,27.0,altair,conda-forge/altair,,,,113812.0,113812.0,https://pypi.org/project/altair,,,22293246.0,22373168.0,https://anaconda.org/conda-forge/altair,2023-12-05 00:22:25.208,2157877.0,,1.0,109.0,,,,,,,,,,,,,,,,,,,,,, +45,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-03-14 15:01:23.000000,2024-03-14 00:35:31,6205.0,196.0,588.0,57.0,4136.0,857.0,2164.0,7990.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,174.0,41,True,2024-03-05 21:28:02.000,0.16.4,269.0,wandb,conda-forge/wandb,,,,41052.0,40300.0,https://pypi.org/project/wandb,2024-03-05 21:19:33.000,752.0,12618354.0,12628864.0,https://anaconda.org/conda-forge/wandb,2024-02-06 19:13:02.985,462443.0,,1.0,,,,wandb/wandb,,,,,,,,,,,,,,,,,,, +46,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-03-14 11:07:15.000000,2024-03-14 11:07:11,47572.0,521.0,1142.0,192.0,380.0,523.0,1728.0,7668.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1217.0,41,True,2024-02-23 14:10:41.000,1.2.3,110.0,catboost,conda-forge/catboost,,,,384.0,13.0,https://pypi.org/project/catboost,2024-02-23 10:17:27.000,371.0,1996193.0,2035481.0,https://anaconda.org/conda-forge/catboost,2024-02-24 13:08:44.587,1454358.0,,2.0,228575.0,,,,,,,,,,,,,,,,,,,,,, +47,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-02-23 04:21:13.000000,2023-01-30 18:15:21,1757.0,,8561.0,1065.0,1450.0,81.0,1717.0,33677.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,40,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,53721.0,51012.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,2709.0,1056865.0,1062547.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,267088.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +48,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-03-07 16:39:48.000000,2024-03-04 02:10:25,2754.0,13.0,7517.0,614.0,2219.0,202.0,1586.0,25406.0,The fastai deep learning library.,665.0,40,True,2024-02-01 00:30:31.000,2.7.14,148.0,fastai,,,,['pytorch'],16862.0,16516.0,https://pypi.org/project/fastai,2024-02-01 00:30:31.000,346.0,450174.0,450174.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +49,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-03-14 09:33:56.000000,2024-03-06 15:19:44,32608.0,16.0,4364.0,348.0,6349.0,2.0,6641.0,17738.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",593.0,40,True,2024-03-04 17:27:13.000,3.6.19,100.0,rasa,,,,['tensorflow'],4004.0,4004.0,https://pypi.org/project/rasa,,,140816.0,140816.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +50,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-03-13 22:19:21.000000,2024-03-01 07:58:37,1344.0,61.0,2269.0,128.0,359.0,1010.0,912.0,13344.0,Multilingual Sentence & Image Embeddings with BERT.,144.0,40,True,2024-03-01 08:18:33.000,2.5.1,48.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],27465.0,26732.0,https://pypi.org/project/sentence-transformers,2024-03-01 08:18:32.000,733.0,3673281.0,3678205.0,https://anaconda.org/conda-forge/sentence-transformers,2024-03-01 13:46:07.960,206811.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +51,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-03-13 12:15:00.000000,2024-03-13 12:14:59,8246.0,12.0,2862.0,476.0,696.0,45.0,2128.0,12850.0,A toolkit for making real world machine learning and data analysis applications in C++.,191.0,40,False,2024-03-10 17:01:06.000,19.24.3,27.0,dlib,conda-forge/dlib,,,,25574.0,25574.0,https://pypi.org/project/dlib,,,392364.0,407327.0,https://anaconda.org/conda-forge/dlib,2024-01-11 01:14:47.895,662503.0,,2.0,25399.0,,,,,,,,,,,,,,,,,,,,,, +52,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-03-06 18:45:12.000000,2024-02-25 13:25:28,1189.0,62.0,2142.0,236.0,540.0,185.0,1096.0,11516.0,Download market data from Yahoo! Finances API.,108.0,40,True,2024-02-25 13:35:19.000,0.2.37,109.0,yfinance,ranaroussi/yfinance,,,,35028.0,34691.0,https://pypi.org/project/yfinance,2024-02-25 13:35:19.000,337.0,1697831.0,1700563.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,87426.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +53,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-03-14 12:14:18.000000,2024-03-13 09:33:17,9784.0,73.0,1929.0,227.0,3858.0,263.0,2989.0,8072.0,Bayesian Modeling and Probabilistic Programming in Python.,482.0,40,True,2024-02-14 10:23:42.000,5.10.4,78.0,pymc3,conda-forge/pymc3,,,,3146.0,2896.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,250.0,838391.0,844601.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,551234.0,,1.0,1936.0,,,,,,,,,,,,,,,,,,,,,, +54,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-03-14 11:13:55.000000,2024-03-14 11:13:55,1334.0,130.0,754.0,101.0,1273.0,127.0,1157.0,6704.0,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",231.0,40,True,2024-03-12 16:58:44.000,0.28.0,44.0,accelerate,conda-forge/accelerate,,,['pytorch'],29342.0,28725.0,https://pypi.org/project/accelerate,2024-03-12 15:54:38.000,617.0,7681140.0,7684846.0,https://anaconda.org/conda-forge/accelerate,2024-03-13 13:00:50.817,107486.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +55,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-03-14 12:29:46.000000,2024-03-13 08:55:47,1895.0,59.0,914.0,108.0,1562.0,440.0,1200.0,4099.0,Python tools for geographic data.,220.0,40,True,2024-01-31 19:22:01.000,0.14.3,52.0,geopandas,conda-forge/geopandas,,,['pandas'],34303.0,32356.0,https://pypi.org/project/geopandas,2024-01-31 19:21:57.000,1947.0,5977506.0,6053993.0,https://anaconda.org/conda-forge/geopandas,2024-01-31 21:02:18.644,3440778.0,,1.0,2460.0,,,,,,,,,,,,,,,,,,,,,, +56,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-03-14 11:53:25.000000,2024-03-13 14:36:44,5724.0,95.0,700.0,55.0,4962.0,1498.0,2316.0,1533.0,A distributed task scheduler for Dask.,323.0,40,True,2024-03-12 10:19:08.000,2024.3.0,223.0,distributed,conda-forge/distributed,,,,34571.0,33234.0,https://pypi.org/project/distributed,2024-03-12 10:19:08.000,1337.0,4630453.0,4915765.0,https://anaconda.org/conda-forge/distributed,2024-03-12 17:59:23.271,13124369.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +57,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-03-14 14:39:21.000000,2024-03-04 11:07:49,1025.0,92.0,3302.0,474.0,875.0,428.0,1886.0,27362.0,A library for efficient similarity search and clustering of dense vectors.,156.0,39,True,2024-03-13 09:45:46.000,2.3.7,92.0,pymilvus,conda-forge/faiss,,,,3585.0,3497.0,https://pypi.org/project/pymilvus,2024-03-13 09:45:46.000,88.0,731644.0,754328.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,1043495.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +58,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-03-12 10:59:35.000000,2024-02-05 13:23:18,2706.0,17.0,9118.0,372.0,3126.0,1427.0,6647.0,27295.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,39,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],2302.0,2264.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,38.0,181312.0,181312.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +59,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-03-13 22:47:10.000000,2024-03-11 23:04:11,8526.0,17.0,2168.0,206.0,4165.0,22.0,1918.0,19767.0,Build multimodal AI applications with cloud-native stack.,176.0,39,True,2024-03-11 09:51:59.000,3.24.0,2458.0,jina,conda-forge/jina-core,jinaai/jina,,,1687.0,1670.0,https://pypi.org/project/jina,2024-03-11 09:48:39.000,17.0,85786.0,114420.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,60162.0,https://hub.docker.com/r/jinaai/jina,2.0,,,,,,,,,,2024-03-11 10:03:55.555687,8.0,1304852.0,,,,,,,,,,, +60,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-03-01 12:26:36.000000,2024-02-08 02:27:50,4512.0,3.0,4375.0,434.0,1687.0,378.0,1448.0,15077.0,Topic Modelling for Humans.,449.0,39,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,59895.0,56713.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,3182.0,4703170.0,4736880.0,https://anaconda.org/conda-forge/gensim,2024-02-08 03:02:42.101,1211943.0,,1.0,4555.0,,,piskvorky/gensim,,,,,,,,,,,,,,,,,,, +61,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-03-11 14:33:24.000000,2024-03-06 14:53:49,5897.0,120.0,2067.0,204.0,1180.0,65.0,2178.0,13463.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,258.0,39,True,2023-12-18 09:34:55.000,0.13.1,32.0,flair,conda-forge/python-flair,,,['pytorch'],3166.0,3069.0,https://pypi.org/project/flair,2023-12-18 09:34:55.000,97.0,128749.0,129267.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,22811.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +62,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-03-14 14:28:13.000000,2024-03-13 17:05:19,4008.0,300.0,2931.0,170.0,4592.0,479.0,2246.0,12850.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",286.0,39,True,2024-03-06 03:29:59.000,2.1.0,451.0,dgl,,,,,304.0,215.0,https://pypi.org/project/dgl,2024-03-05 07:16:21.000,89.0,78784.0,78784.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +63,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2024-03-14 09:48:53.000000,2024-03-14 08:34:54,17361.0,524.0,942.0,119.0,3433.0,95.0,1502.0,9390.0,A hyperparameter optimization framework.,260.0,39,False,2023-12-11 05:05:36.000,3.5.0,62.0,optuna,conda-forge/optuna,,,,13490.0,12985.0,https://pypi.org/project/optuna,2023-12-11 05:05:36.000,505.0,2368841.0,2384304.0,https://anaconda.org/conda-forge/optuna,2023-12-11 08:40:18.727,695870.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +64,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-03-14 12:05:33.000000,2024-03-13 20:13:10,4352.0,271.0,1242.0,101.0,3540.0,778.0,1406.0,7278.0,A unified framework for machine learning with time series.,328.0,39,True,2024-02-28 12:02:55.000,0.27.0,63.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],2409.0,2341.0,https://pypi.org/project/sktime,2024-02-28 12:02:55.000,68.0,910111.0,939333.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-02-28 22:27:58.715,935083.0,,1.0,84.0,,,sktime/sktime,,,,,,,,,,,,,,,,,,, +65,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-03-14 11:11:14.000000,2024-03-08 12:03:11,1797.0,29.0,2202.0,164.0,823.0,86.0,994.0,6616.0,Python Data. Leaflet.js Maps.,165.0,39,True,2024-02-29 08:58:17.000,0.16.0,31.0,folium,conda-forge/folium,,,,35872.0,35028.0,https://pypi.org/project/folium,2024-02-29 08:58:17.000,844.0,929695.0,997487.0,https://anaconda.org/conda-forge/folium,2024-02-29 12:23:49.642,2576122.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +66,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-03-14 13:53:24.000000,2024-03-14 05:05:16,8609.0,3947.0,615.0,41.0,714.0,376.0,1368.0,6066.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",140.0,39,True,2024-03-14 05:37:32.000,1.31.10,677.0,litellm,,,,others,1184.0,1107.0,https://pypi.org/project/litellm,2024-03-14 05:24:49.000,77.0,393219.0,393223.0,,,,,1.0,8.0,,,,,,,,,,,,,,,,,,,,,, +67,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-03-14 14:26:34.000000,2024-03-14 12:43:47,4253.0,202.0,579.0,85.0,2237.0,204.0,686.0,5309.0,Flax is a neural network library for JAX that is designed for flexibility.,217.0,39,True,2024-03-14 11:35:04.000,0.8.2,43.0,flax,conda-forge/flax,,,['jax'],6650.0,6421.0,https://pypi.org/project/flax,2024-03-14 11:35:04.000,229.0,3502054.0,3503203.0,https://anaconda.org/conda-forge/flax,2024-03-14 12:49:40.118,41355.0,,2.0,50.0,,,,,,,,,,,,,,,,,,,,,, +68,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2024-03-14 05:53:02.000000,2024-03-13 17:27:31,17882.0,106.0,1302.0,84.0,7751.0,512.0,4258.0,2499.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,366.0,39,True,2024-01-16 18:38:53.000,1.6.1,77.0,mne,conda-forge/mne,,,,3884.0,3587.0,https://pypi.org/project/mne,2024-01-16 18:38:53.000,297.0,104900.0,112507.0,https://anaconda.org/conda-forge/mne,2024-01-16 19:57:33.854,349930.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +69,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2024-03-14 14:22:29.000000,2024-03-13 19:49:40,3565.0,143.0,1071.0,132.0,2888.0,269.0,1165.0,2023.0,A library for training and deploying machine learning models on Amazon SageMaker.,430.0,39,True,2024-03-06 19:57:33.000,2.212.0,572.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",3803.0,3706.0,https://pypi.org/project/sagemaker,2024-03-05 18:25:33.000,97.0,26587389.0,26604047.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-03-06 22:10:37.385,716336.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +70,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-03-13 04:34:32.000000,2024-03-07 03:23:05,6131.0,10.0,7045.0,430.0,2843.0,1087.0,7529.0,37394.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",153.0,38,True,2023-10-18 12:32:48.000,2.7.1,8.0,paddleocr,,,,['paddle'],2312.0,2312.0,https://pypi.org/project/paddleocr,,,210834.0,210834.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +71,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-03-14 14:18:53.000000,2024-03-14 12:33:32,35039.0,569.0,12829.0,948.0,24485.0,1134.0,,22974.0,Apache Flink Python API.,1838.0,38,True,2023-11-28 07:09:06.000,1.16.3,46.0,apache-flink,,,,,45.0,21.0,https://pypi.org/project/apache-flink,2024-01-15 16:28:13.000,24.0,139252.0,139252.0,,,,,2.0,,4.0,,,,,,,,,,,,,,,,,,,,, +72,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6891.0,1072.0,11124.0,1805.0,7758.0,20701.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7399.0,7100.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,294.0,484648.0,485073.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10650.0,,2.0,26656.0,,,apache/mxnet,,,,,,,,,,,,5.0,,,,,,, +73,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-03-14 14:35:42.000000,2024-03-13 17:17:21,3811.0,55.0,6685.0,402.0,5185.0,767.0,2345.0,15215.0,"Datasets, Transforms and Models specific to Computer Vision.",578.0,38,True,2024-02-22 21:54:54.000,0.17.1,39.0,torchvision,conda-forge/torchvision,,,['pytorch'],21.0,21.0,https://pypi.org/project/torchvision,,,10137313.0,10165454.0,https://anaconda.org/conda-forge/torchvision,2024-02-26 00:12:18.834,996969.0,,1.0,37206.0,,,,,,,,,,,,,,,,,,,,,, +74,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,1.0,2511.0,543.0,4118.0,685.0,2087.0,9845.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,17688.0,14849.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2839.0,362417.0,388441.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2394260.0,,2.0,,4.0,,,,,,,,,,,,,,,,,,,,, +75,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-03-06 23:14:00.324000,2024-03-03 00:53:10,941.0,50.0,1096.0,123.0,278.0,36.0,685.0,9218.0,Unsupervised text tokenizer for Neural Network-based text generation.,84.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,58918.0,57902.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1016.0,15349011.0,15366117.0,https://anaconda.org/conda-forge/sentencepiece,2024-03-06 23:14:00.324,729614.0,,1.0,35136.0,,,,,,,,,,,,,,,,,,,,,, +76,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-03-14 09:18:15.000000,2024-03-14 09:17:47,2699.0,83.0,924.0,128.0,1811.0,263.0,631.0,9179.0,Geometric Computer Vision Library for Spatial AI.,255.0,38,True,2024-03-14 09:18:15.000,0.7.2,39.0,kornia,conda-forge/kornia,,,['pytorch'],8930.0,8791.0,https://pypi.org/project/kornia,2024-03-14 09:18:15.000,139.0,2258658.0,2261634.0,https://anaconda.org/conda-forge/kornia,2024-02-20 17:25:27.727,115481.0,,1.0,985.0,,,,,,,,,,,,,,,,,,,,,, +77,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-03-10 21:35:37.045000,2024-03-04 05:00:38,5194.0,113.0,1728.0,132.0,982.0,333.0,1925.0,8283.0,"An open-source, low-code machine learning library in Python.",134.0,38,True,2024-02-20 04:09:05.000,3.3.0,96.0,pycaret,conda-forge/pycaret,,,,5265.0,5247.0,https://pypi.org/project/pycaret,2024-02-20 04:08:49.000,18.0,287017.0,288030.0,https://anaconda.org/conda-forge/pycaret,2024-03-10 21:35:37.045,42930.0,,2.0,680.0,,,,,,,,,,,,,,,,,,,,,, +78,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-03-12 10:24:22.000000,2024-03-12 10:24:21,1760.0,13.0,693.0,119.0,564.0,183.0,756.0,8219.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,87.0,38,True,2024-02-12 02:35:06.000,0.15.2,90.0,tokenizers,conda-forge/tokenizers,,,,65307.0,64894.0,https://pypi.org/project/tokenizers,2024-02-12 02:24:30.000,413.0,19127452.0,19160950.0,https://anaconda.org/conda-forge/tokenizers,2024-02-12 11:07:11.714,1473937.0,,1.0,47.0,,,,,,,,,,,,,,,,,,,,,, +79,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-03-14 13:56:52.000000,2024-03-04 22:19:02,20859.0,483.0,2067.0,179.0,3237.0,269.0,2057.0,7712.0,End-to-End Speech Processing Toolkit.,415.0,38,True,2024-02-06 03:28:17.000,.202402,52.0,espnet,,,,,304.0,299.0,https://pypi.org/project/espnet,2024-02-06 03:28:41.000,5.0,109770.0,109771.0,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,,,,, +80,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-03-14 14:37:43.000000,2024-03-13 10:43:52,28374.0,277.0,747.0,127.0,6099.0,544.0,1646.0,7653.0,NumPy & SciPy for GPU.,362.0,38,True,2024-01-18 05:54:29.000,13.0.0,138.0,cupy,conda-forge/cupy,cupy/cupy,,,2166.0,1952.0,https://pypi.org/project/cupy,2023-12-07 05:15:09.000,214.0,24511.0,100399.0,https://anaconda.org/conda-forge/cupy,2024-02-05 02:05:27.119,3333063.0,https://hub.docker.com/r/cupy/cupy,1.0,170574.0,,,,,,,,,2024-01-18 05:56:19.967362,11.0,59927.0,,,,,,,,,,, +81,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-03-14 10:08:06.000000,2024-03-13 14:54:59,9701.0,91.0,1218.0,127.0,1141.0,151.0,921.0,7592.0,A PyTorch-based Speech Toolkit.,230.0,38,True,2024-02-26 20:55:33.000,1.0.0,16.0,speechbrain,,,,['pytorch'],1627.0,1596.0,https://pypi.org/project/speechbrain,2024-02-26 20:55:33.000,31.0,621828.0,621828.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +82,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-03-14 12:15:24.000000,2024-03-13 19:52:06,6204.0,89.0,1499.0,106.0,4189.0,656.0,711.0,4141.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",303.0,38,True,2023-12-18 13:28:11.000,4.9.4,37.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],16857.0,16636.0,https://pypi.org/project/tensorflow-datasets,2023-12-18 13:28:06.000,221.0,3156264.0,3157052.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,26792.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +83,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-03-13 21:08:41.000000,2024-03-13 21:08:40,2259.0,30.0,554.0,88.0,809.0,253.0,911.0,3616.0,Manipulation and analysis of geometric objects.,153.0,38,True,2024-02-16 14:21:16.000,2.0.3,122.0,shapely,conda-forge/shapely,,,,65280.0,63875.0,https://pypi.org/project/shapely,2024-02-16 14:21:16.000,1405.0,20196516.0,20405077.0,https://anaconda.org/conda-forge/shapely,2024-02-19 19:30:03.013,8963497.0,,2.0,3143.0,,,,,,,,,,,,,,,,,,,,,, +84,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-01-17 14:24:55.000000,2020-02-15 08:33:35,523.0,,6692.0,1288.0,165.0,666.0,225.0,32135.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,28720.0,26998.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1722.0,725175.0,726979.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,149774.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +85,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2024-03-14 09:02:51.000000,2024-03-14 09:02:51,7429.0,187.0,3494.0,254.0,2882.0,933.0,2573.0,19792.0,Graph Neural Network Library for PyTorch.,485.0,37,True,2024-03-12 14:10:08.000,2.5.1,42.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],152.0,,https://pypi.org/project/torch-geometric,2024-03-12 14:10:08.000,152.0,247072.0,247923.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-02-22 16:44:15.527,37466.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +86,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-03-03 06:51:32.000000,2024-03-03 06:50:21,1649.0,5.0,2793.0,379.0,457.0,8.0,1832.0,14320.0,Python Echarts Plotting Library.,42.0,37,True,2024-03-03 07:03:55.000,2.0.5,4.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3928.0,3928.0,https://pypi.org/project/pyecharts,,,137923.0,137923.0,,,,,2.0,7.0,,,,,,,,,,,,,,,,,,,,,, +87,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-03-14 05:43:54.000000,2024-03-12 21:54:20,817.0,31.0,1568.0,130.0,699.0,413.0,452.0,13234.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,135.0,37,True,2024-03-05 00:26:03.000,1.4.1,55.0,albumentations,conda-forge/albumentations,,,['pytorch'],21815.0,21461.0,https://pypi.org/project/albumentations,2024-03-05 00:26:03.000,354.0,1367887.0,1371391.0,https://anaconda.org/conda-forge/albumentations,2024-03-05 20:01:04.905,154181.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +88,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-03-12 17:00:08.000000,2024-03-12 16:24:01,4802.0,123.0,4809.0,383.0,689.0,579.0,1333.0,12047.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,37,False,2024-02-24 10:01:09.000,2.7.0,58.0,glfw,conda-forge/glfw,,,,222.0,22.0,https://pypi.org/project/glfw,2024-02-24 10:01:09.000,200.0,251300.0,290085.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,182041.0,,1.0,3657475.0,,,,,,,,,,,,,,,,,,,,,, +89,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-03-14 14:00:12.000000,2024-03-13 11:22:27,1380.0,12.0,1608.0,151.0,758.0,210.0,557.0,11897.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,119.0,37,True,2024-02-26 14:50:43.000,4.6.5,56.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",2839.0,2643.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,196.0,522828.0,527449.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,420521.0,,2.0,68.0,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,,,,, +90,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-03-14 06:09:50.000000,2023-07-11 16:23:35,1095.0,,1439.0,251.0,664.0,383.0,1042.0,11593.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,14.0,moviepy,conda-forge/moviepy,,,,35370.0,35370.0,https://pypi.org/project/moviepy,,,853308.0,856112.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,224365.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +91,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-03-12 05:12:30.000000,2024-03-11 18:49:09,1316.0,193.0,1740.0,129.0,160.0,3.0,943.0,9532.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",56.0,37,True,2024-03-09 22:56:58.000,0.0.86,85.0,deepface,,,,,2721.0,2700.0,https://pypi.org/project/deepface,2024-03-09 22:50:56.000,21.0,188610.0,188610.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +92,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-03-14 14:18:37.000000,2024-03-14 14:18:36,27680.0,1860.0,1970.0,199.0,5114.0,13.0,3376.0,9172.0,Perform data science on data that remains in someone elses server.,505.0,37,True,2024-02-20 10:19:52.000,0.8.4,265.0,syft,,,,['pytorch'],6.0,1.0,https://pypi.org/project/syft,2024-03-14 14:15:41.000,5.0,12165.0,12223.0,,,,,1.0,2466.0,,,,,,,,,,,,,,,,,,,,,, +93,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2024-03-14 14:03:20.000000,2024-03-14 09:13:48,21469.0,550.0,1144.0,239.0,8304.0,993.0,1368.0,4837.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel..",201.0,37,True,2023-11-13 02:02:20.000,2.4.0,859.0,bigdl,,,,,54.0,49.0,https://pypi.org/project/bigdl,2024-03-14 14:03:20.000,1.0,19689.0,19692.0,,,,,2.0,266.0,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,, +94,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-02-12 11:19:30.000000,2023-12-31 11:04:55,953.0,20.0,765.0,86.0,202.0,89.0,656.0,4061.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,37,True,2023-12-31 11:17:16.000,80,72.0,opencv-python,,,,,364752.0,364752.0,https://pypi.org/project/opencv-python,,,12987821.0,12987821.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +95,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-03-12 21:35:53.000000,2024-03-12 21:35:51,12107.0,74.0,1072.0,165.0,463.0,661.0,743.0,4052.0,Probabilistic reasoning and statistical analysis in TensorFlow.,487.0,37,True,2024-03-12 19:43:46.000,0.24.0,52.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],464.0,,https://pypi.org/project/tensorflow-probability,2024-03-12 19:43:39.000,464.0,3249580.0,3252870.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-01-09 01:12:57.968,121752.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +96,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-03-14 09:39:28.000000,2024-03-14 09:39:27,10714.0,44.0,388.0,59.0,2939.0,1073.0,2139.0,2583.0,"With Holoviews, your data visualizes itself.",140.0,37,True,2024-02-13 10:17:52.000,1.18.3,79.0,holoviews,conda-forge/holoviews,,,['jupyter'],9681.0,9681.0,https://pypi.org/project/holoviews,,,399717.0,433530.0,https://anaconda.org/conda-forge/holoviews,2024-02-12 17:18:29.765,1509469.0,,2.0,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,,,270.0,,,,,,,,,,,,,, +97,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-03-05 02:12:04.000000,2024-03-05 02:12:01,3832.0,37.0,520.0,148.0,1136.0,143.0,1622.0,2111.0,Rasterio reads and writes geospatial raster datasets.,155.0,37,True,2023-10-19 14:09:18.000,1.3.9,155.0,rasterio,conda-forge/rasterio,,,,11775.0,10666.0,https://pypi.org/project/rasterio,2024-03-03 01:11:49.000,1109.0,2328682.0,2403059.0,https://anaconda.org/conda-forge/rasterio,2023-12-13 04:52:52.421,2826041.0,,2.0,854.0,,,,,,,,,,,,,,,,,,,,,, +98,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-03-08 14:16:53.000000,2024-02-12 02:14:21,1521.0,2.0,276.0,32.0,478.0,92.0,491.0,1396.0,Python library for reading and writing image data.,109.0,37,True,2024-02-12 02:14:34.000,2.34.0,65.0,imageio,conda-forge/imageio,,,,118809.0,118809.0,https://pypi.org/project/imageio,,,24191917.0,24330612.0,https://anaconda.org/conda-forge/imageio,2024-02-12 09:34:41.924,6101938.0,,1.0,1002.0,,,,,,,,,,,,,,,,,,,,,, +99,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-03-13 16:46:59.000000,2024-03-11 17:30:13,1499.0,21.0,201.0,48.0,541.0,34.0,749.0,1111.0,Fiona reads and writes geographic data files.,72.0,37,True,2024-03-08 16:14:09.000,1.9.6,110.0,fiona,conda-forge/fiona,,,,18581.0,18483.0,https://pypi.org/project/fiona,2024-03-08 16:08:54.000,98.0,6099134.0,6219419.0,https://anaconda.org/conda-forge/fiona,2024-03-08 21:09:14.732,5292551.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +100,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-03-13 13:24:18.000000,2024-03-13 13:24:17,2322.0,4.0,6319.0,419.0,1327.0,1200.0,3037.0,28907.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,425.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],2898.0,2823.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,75.0,300698.0,302088.0,https://anaconda.org/conda-forge/fairseq,2023-12-03 20:00:06.516,61008.0,,1.0,326.0,,,,,,,,,,,,,,,,,,,,,, +101,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-03-04 20:45:33.000000,2020-06-01 14:58:26,2913.0,,2371.0,233.0,337.0,284.0,224.0,14068.0,Image augmentation for machine learning experiments.,36.0,36,False,2020-02-06 06:18:40.000,0.4.0,3.0,imgaug,conda-forge/imgaug,,,,18795.0,18795.0,https://pypi.org/project/imgaug,,,361933.0,364590.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,151463.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +102,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-03-14 14:56:18.000000,2024-03-14 10:14:04,3247.0,315.0,1580.0,124.0,3488.0,201.0,2926.0,13080.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",231.0,36,True,2024-03-11 10:56:42.000,2.0.0,84.0,haystack,,,,,240.0,153.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,87.0,4049.0,4049.0,,,,,1.0,24.0,,,,,,,,,,,,,,,,,,,,,, +103,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-03-14 14:58:50.000000,2024-03-11 09:45:00,6030.0,10.0,3255.0,242.0,1499.0,1044.0,3854.0,10293.0,Open-source simulator for autonomous driving research.,171.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,668.0,661.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,7.0,20750.0,20750.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +104,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-03-14 13:55:00.000000,2024-03-13 22:43:58,6220.0,235.0,2016.0,185.0,6048.0,126.0,1920.0,9540.0,NeMo: a framework for generative AI.,291.0,36,True,2024-02-28 06:18:16.000,1.23.0,72.0,nemo-toolkit,,,,['pytorch'],31.0,21.0,https://pypi.org/project/nemo-toolkit,2024-02-28 05:27:18.000,10.0,56221.0,58287.0,,,,,1.0,111589.0,,,,,,,,,,,,,,,,,,,,,, +105,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-03-13 19:05:24.000000,2024-03-13 19:05:23,572.0,9.0,1139.0,264.0,161.0,109.0,167.0,8873.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,36,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,38143.0,36701.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1442.0,844379.0,847052.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,243272.0,,1.0,114.0,,,,,,,,,,,,,,,,,,,,,, +106,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2024-02-28 07:42:03.000000,2024-01-24 13:04:18,855.0,7.0,1263.0,141.0,493.0,45.0,547.0,6656.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,82.0,36,True,2024-01-24 19:22:58.000,0.12.0,34.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],25489.0,25121.0,https://pypi.org/project/imbalanced-learn,2024-01-24 19:14:48.000,368.0,11082318.0,11094166.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-01-24 19:39:53.672,533168.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +107,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-03-14 07:23:06.000000,2024-03-14 02:56:01,2987.0,280.0,726.0,71.0,3341.0,211.0,798.0,6389.0,Build Production-Grade AI Applications.,196.0,36,True,2024-03-14 07:23:06.000,1.2.7,138.0,bentoml,,,,,1657.0,1643.0,https://pypi.org/project/bentoml,2024-03-14 07:23:06.000,14.0,86044.0,86078.0,,,,,2.0,1823.0,,,,,,,,,,,,,,,,,,,,,, +108,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-03-13 16:45:18.000000,2024-03-12 19:38:04,10392.0,539.0,1578.0,148.0,2228.0,578.0,1225.0,4995.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",237.0,36,True,2022-12-01 14:00:47.111,2.7.1,829.0,deepchem,conda-forge/deepchem,,,['tensorflow'],336.0,324.0,https://pypi.org/project/deepchem,2024-03-12 22:45:48.000,12.0,26804.0,28950.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,105182.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +109,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-03-14 15:13:56.000000,2024-03-07 17:25:29,2302.0,137.0,207.0,65.0,132.0,69.0,541.0,3759.0,A Grammar of Graphics for Python.,106.0,36,True,2024-03-06 19:17:02.000,0.13.1,22.0,plotnine,conda-forge/plotnine,,,,7340.0,7065.0,https://pypi.org/project/plotnine,2024-03-06 18:25:28.000,275.0,2718660.0,2726225.0,https://anaconda.org/conda-forge/plotnine,2024-03-06 18:45:45.389,340436.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +110,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-03-14 13:30:52.000000,2024-03-04 12:30:35,8490.0,93.0,694.0,100.0,13158.0,48.0,814.0,3637.0,State of the Art Natural Language Processing.,112.0,36,True,2024-03-04 12:45:06.000,5.3.1,139.0,spark-nlp,,,,['spark'],431.0,398.0,https://pypi.org/project/spark-nlp,2024-03-04 12:20:03.000,33.0,3967375.0,3967375.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +111,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-03-14 11:19:59.000000,2024-03-13 23:53:27,4184.0,204.0,415.0,35.0,3027.0,459.0,1052.0,2242.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,156.0,36,True,2024-03-12 17:32:27.000,0.43.4,70.0,pyvista,conda-forge/pyvista,,,['jupyter'],2718.0,2718.0,https://pypi.org/project/pyvista,,,199942.0,209862.0,https://anaconda.org/conda-forge/pyvista,2024-03-12 20:44:20.350,445964.0,,2.0,792.0,,,,,,,,,,,,,,,,,,,,,, +112,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-03-14 12:36:14.000000,2024-03-14 12:35:47,1708.0,121.0,355.0,26.0,1439.0,69.0,725.0,1855.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",229.0,36,True,2024-02-12 19:10:54.000,1.3.1,43.0,metrics,conda-forge/torchmetrics,,,['pytorch'],21717.0,21704.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,13.0,2964.0,37593.0,https://anaconda.org/conda-forge/torchmetrics,2024-03-05 21:39:18.786,1241826.0,,2.0,4858.0,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,,,,, +113,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2024-03-14 14:49:11.000000,2024-03-14 13:54:02,1313.0,91.0,390.0,59.0,1250.0,133.0,630.0,1571.0,The official Python client for the Huggingface Hub.,141.0,36,True,2024-03-06 12:14:05.000,0.21.4,101.0,huggingface_hub,conda-forge/huggingface_hub,,,,707.0,,https://pypi.org/project/huggingface_hub,2024-03-06 12:12:04.000,707.0,25340889.0,25384011.0,https://anaconda.org/conda-forge/huggingface_hub,2024-03-07 11:26:56.212,1595544.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +114,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-03-14 00:08:57.000000,2024-03-14 00:06:59,1532.0,13.0,368.0,48.0,1479.0,175.0,671.0,1502.0,Exploratory analysis of Bayesian models with Python.,153.0,36,True,2024-03-13 17:22:58.000,0.17.1,36.0,arviz,conda-forge/arviz,,,,6188.0,6009.0,https://pypi.org/project/arviz,2024-03-13 17:22:58.000,179.0,2013697.0,2058913.0,https://anaconda.org/conda-forge/arviz,2024-03-13 19:23:07.065,2079862.0,,1.0,134.0,,,,,,,,,,,,,,,,,,,,,, +115,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-03-11 14:30:59.000000,2024-03-09 17:32:21,10239.0,85.0,542.0,71.0,2344.0,296.0,1731.0,1094.0,Machine learning for NeuroImaging in Python.,233.0,36,True,2024-01-29 09:31:15.000,0.10.3,46.0,nilearn,conda-forge/nilearn,,,['sklearn'],3246.0,2947.0,https://pypi.org/project/nilearn,2024-01-29 09:31:15.000,299.0,59875.0,66405.0,https://anaconda.org/conda-forge/nilearn,2024-01-29 13:01:39.700,261056.0,,1.0,158.0,,,,,,,,,,,,,,,,,,,,,, +116,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-03-12 01:11:40.000000,2024-03-12 01:11:39,5804.0,44.0,257.0,37.0,797.0,128.0,398.0,614.0,Python package to access a cacophony of neuro-imaging file formats.,102.0,36,True,2024-02-27 04:17:30.000,5.2.1,42.0,nibabel,conda-forge/nibabel,,,,18827.0,17614.0,https://pypi.org/project/nibabel,2024-02-27 04:13:17.000,1213.0,460648.0,475834.0,https://anaconda.org/conda-forge/nibabel,2024-02-27 14:41:50.570,683385.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +117,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-03-13 15:22:56.000000,2024-03-13 15:16:33,391.0,3.0,4735.0,844.0,268.0,550.0,611.0,25484.0,Library for fast text representation and classification.,68.0,35,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,5919.0,5689.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,230.0,996060.0,997848.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,75118.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +118,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-03-12 07:28:35.000000,2024-01-30 09:34:31,8771.0,80.0,2965.0,270.0,1227.0,168.0,658.0,17695.0,Best Practices on Recommendation Systems.,129.0,35,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,106.0,104.0,https://pypi.org/project/recommenders,2022-04-01 08:49:49.000,2.0,80068.0,80075.0,,,,,1.0,470.0,,,recommenders-team/recommenders,,,,,,,,,,,,,,,,,,, +119,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-02-10 14:00:13.000000,2023-10-18 07:33:05,791.0,,4457.0,432.0,439.0,378.0,1724.0,17576.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,35,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,149.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,128.0,801331.0,833910.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1139291.0,,1.0,2381.0,,,,,,,,,,,,,,,,,,,,,, +120,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-03-14 15:21:54.000000,2024-03-14 15:21:53,17985.0,742.0,5881.0,70.0,11611.0,1141.0,15787.0,13977.0,The Unified AI Framework.,1466.0,35,True,2023-06-29 19:33:01.167,0.0.0,115.0,ivy,,,,,9.0,,https://pypi.org/project/ivy,2024-03-07 07:38:31.000,9.0,2969.0,2969.0,,,,,2.0,,4.0,,,,,,,,,,,,,,,,,,,,, +121,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-03-13 03:26:41.000000,2024-01-05 20:03:59,1332.0,1.0,2229.0,334.0,1582.0,372.0,1857.0,13865.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,35,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1144.0,1107.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,37.0,70578.0,70578.0,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,,, +122,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2024-03-13 22:36:42.000000,2021-06-01 10:43:00,1848.0,,4403.0,548.0,714.0,402.0,1270.0,13850.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,5981.0,5628.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,353.0,31662.0,31662.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +123,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-02-06 22:23:52.000000,2023-08-20 17:38:53,890.0,,1118.0,320.0,267.0,54.0,343.0,12536.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,3928.0,3648.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,280.0,1197010.0,1206213.0,https://anaconda.org/conda-forge/python-annoy,2023-09-25 04:57:08.085,386532.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +124,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2260.0,282.0,3096.0,91.0,2477.0,11669.0,"An open-source NLP research library, built on PyTorch.",266.0,35,False,2022-10-18 23:32:24.000,2.10.1,59.0,allennlp,conda-forge/allennlp,,,['pytorch'],3955.0,3955.0,https://pypi.org/project/allennlp,,,42598.0,44507.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,120274.0,,2.0,62.0,,,,,,,,,,,,,,,,,,,,,, +125,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-03-13 15:58:09.000000,2024-03-12 17:53:26,3837.0,71.0,1151.0,193.0,2833.0,348.0,754.0,10666.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",152.0,35,True,2024-02-28 07:50:48.000,0.10.1,53.0,ludwig,,,,['tensorflow'],250.0,241.0,https://pypi.org/project/ludwig,2024-02-28 07:50:48.000,9.0,4272.0,4272.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +126,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-01-17 08:31:39.000000,2023-12-09 05:39:53,576.0,,2361.0,222.0,245.0,114.0,416.0,9895.0,A little word cloud generator in Python.,72.0,35,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,870.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,849.0,1454592.0,1465027.0,https://anaconda.org/conda-forge/wordcloud,2023-12-11 13:49:34.986,459165.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +127,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-03-13 02:20:24.000000,2024-03-13 02:19:51,2578.0,108.0,613.0,104.0,455.0,555.0,1220.0,8762.0,An open source multi-tool for exploring and publishing data.,77.0,35,True,2023-12-22 23:22:42.000,0.64.6,147.0,datasette,conda-forge/datasette,,,,1442.0,1209.0,https://pypi.org/project/datasette,2024-03-13 02:20:24.000,233.0,44229.0,45112.0,https://anaconda.org/conda-forge/datasette,2024-01-03 22:47:34.900,30875.0,,1.0,59.0,,,,,,,,,,,,datasette,,,,,,,,,, +128,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-03-08 21:54:51.000000,2024-03-08 21:20:46,10410.0,12.0,1965.0,350.0,3422.0,143.0,1133.0,8391.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,336.0,35,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,35.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,35.0,61053.0,64485.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-10-08 10:19:04.401,140735.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +129,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-03-05 13:07:16.000000,2022-12-08 17:49:19,746.0,,987.0,136.0,225.0,342.0,270.0,8218.0,Manipulate audio with a simple and easy high level interface.,95.0,35,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,53317.0,51969.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1348.0,4354347.0,4355672.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,83475.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +130,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2024-03-14 11:02:05.000000,2024-03-13 14:46:10,32388.0,109.0,1981.0,384.0,6786.0,2734.0,6573.0,6667.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",261.0,35,True,,,151.0,h2o,,,,,106.0,21.0,https://pypi.org/project/h2o,2024-03-14 11:02:05.000,85.0,369662.0,369662.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +131,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-03-13 08:25:38.000000,2024-03-10 15:21:28,2966.0,41.0,938.0,92.0,3236.0,286.0,2611.0,5127.0,AI Toolkit for Healthcare Imaging.,179.0,35,True,2023-10-12 17:37:33.000,1.3.0,77.0,monai,conda-forge/monai,,,['pytorch'],1990.0,1936.0,https://pypi.org/project/monai,2023-10-12 17:09:21.000,54.0,153907.0,154702.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,21470.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +132,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-02-28 17:12:19.096000,2023-11-23 21:41:49,1136.0,,661.0,90.0,269.0,32.0,252.0,4231.0,Geocoding library for Python.,133.0,35,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,4085.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,4085.0,4908465.0,4936671.0,https://anaconda.org/conda-forge/geopy,2024-02-28 17:12:19.096,1269298.0,,2.0,22.0,,,,,,,,,,,,,,,,,,,,,, +133,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-03-14 06:03:59.000000,2024-03-14 01:30:12,3717.0,100.0,795.0,57.0,1487.0,342.0,1212.0,3924.0,"Serve, optimize and scale PyTorch models in production.",186.0,35,True,2023-10-13 00:21:43.000,0.9.0,22.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],636.0,620.0,https://pypi.org/project/torchserve,2023-10-12 22:01:55.000,16.0,47418.0,74205.0,https://anaconda.org/pytorch/torchserve,2023-10-12 22:01:52.717,158058.0,https://hub.docker.com/r/pytorch/torchserve,2.0,5577.0,,,,,,,,,2023-10-12 22:44:52.307587,23.0,1235302.0,,,,,,,,,,, +134,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-02-16 20:10:11.000000,2024-02-16 20:10:10,7363.0,32.0,606.0,117.0,1159.0,323.0,1106.0,3197.0,High-performance interactive 2D/3D data visualization library.,193.0,35,True,2023-10-03 22:23:12.000,0.14.1,37.0,vispy,conda-forge/vispy,,,['jupyter'],1581.0,1438.0,https://pypi.org/project/vispy,2023-10-03 22:13:28.000,143.0,91526.0,102476.0,https://anaconda.org/conda-forge/vispy,2023-10-04 03:59:45.400,459799.0,,2.0,,,,,vispy,https://www.npmjs.com/package/vispy,,,3.0,,,,,,,,,,,,,, +135,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-02-23 00:11:47.000000,2024-02-07 15:14:19,5271.0,3.0,284.0,79.0,780.0,16.0,124.0,2777.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,35,True,2024-02-07 18:33:24.000,8.2.3,232.0,thinc,conda-forge/thinc,,,,44500.0,43854.0,https://pypi.org/project/thinc,2024-02-07 18:16:46.000,646.0,6144401.0,6203493.0,https://anaconda.org/conda-forge/thinc,2023-12-29 09:50:56.118,2718243.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +136,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-03-14 13:12:52.805000,2024-03-13 15:16:43,5105.0,163.0,501.0,21.0,1212.0,999.0,617.0,2070.0,"This is the development home of the workflow management system Snakemake. For general information, see.",319.0,35,True,2024-03-13 15:17:48.000,8.7.0,319.0,snakemake,bioconda/snakemake,,,,2172.0,1904.0,https://pypi.org/project/snakemake,2024-03-13 15:17:48.000,268.0,147388.0,157204.0,https://anaconda.org/bioconda/snakemake,2024-03-14 13:12:52.805,991480.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +137,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-03-06 06:34:09.000000,2024-03-06 06:34:01,1216.0,5.0,206.0,33.0,47.0,9.0,160.0,1548.0,Simple Python interface for Graphviz.,22.0,35,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,65628.0,62094.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3534.0,9645915.0,9646439.0,https://anaconda.org/anaconda/python-graphviz,2023-12-06 23:46:08.496,43573.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +138,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-03-12 01:50:37.000000,2024-02-11 16:39:29,1856.0,8.0,198.0,32.0,211.0,24.0,392.0,1350.0,The ctypes-based simple ImageMagick binding for Python.,104.0,35,True,2023-11-04 01:41:17.000,0.6.13,25.0,wand,conda-forge/wand,,,,18434.0,18434.0,https://pypi.org/project/wand,,,846898.0,848253.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,37508.0,,2.0,43136.0,,,,,,,,,,,,,,,,,,,,,, +139,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-03-13 01:53:44.000000,2024-03-13 00:47:35,874.0,11.0,321.0,45.0,1018.0,161.0,166.0,1186.0,Making text a first-class citizen in TensorFlow.,113.0,35,True,2024-03-11 20:48:59.000,2.16.1,69.0,tensorflow-text,,,,['tensorflow'],6668.0,6528.0,https://pypi.org/project/tensorflow-text,2024-03-11 17:56:47.000,140.0,6016168.0,6016168.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +140,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2024-03-14 13:16:55.000000,2024-03-14 10:48:50,1607.0,94.0,167.0,32.0,1497.0,73.0,177.0,1145.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,77.0,35,True,2024-01-24 21:51:51.000,2024.1.0,24.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],9973.0,9949.0,https://pypi.org/project/scikit-learn-intelex,2024-01-23 15:23:40.000,24.0,178567.0,185483.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-01-25 17:59:16.547,242094.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +141,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-03-06 05:33:34.000000,2024-03-02 03:46:10,1540.0,13.0,211.0,33.0,681.0,31.0,571.0,973.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,65.0,35,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,30088.0,27998.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,2090.0,8210060.0,8375592.0,https://anaconda.org/conda-forge/pyproj,2023-12-08 10:35:21.072,7283419.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +142,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-03-11 08:31:49.000000,2024-03-11 08:27:00,1505.0,10.0,7269.0,381.0,652.0,465.0,3045.0,28273.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",266.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1657.0,1651.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,6.0,,5119.0,https://anaconda.org/conda-forge/detectron2,2024-01-18 08:57:46.349,225273.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +143,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-03-14 03:55:36.000000,2024-03-14 03:55:27,7732.0,310.0,2638.0,295.0,187.0,27.0,1026.0,25671.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2024-03-09 03:16:02.000,7.5.4,631.0,netron,,,,"['pytorch', 'tensorflow']",86.0,12.0,https://pypi.org/project/netron,2024-03-09 03:16:02.000,74.0,30157.0,103175.0,,,,,1.0,73018.0,,,,,,,,,,,,,,,,,,,,,, +144,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-02-18 05:01:17.000000,2021-11-17 17:52:52,3466.0,,3924.0,665.0,1674.0,137.0,1985.0,24003.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,34,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],448.0,405.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,8659.0,25676.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2543.0,,2.0,1117969.0,,,,,,,,,,,,,,,,,,,,,, +145,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-02-06 12:31:50.000000,2023-09-04 11:42:16,615.0,,2919.0,303.0,244.0,359.0,585.0,21424.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,34,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,5561.0,5459.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,102.0,222377.0,432133.0,,,,,1.0,9439056.0,,,,,,,,,,,,,,,,,,,,,, +146,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-03-13 21:49:43.000000,2024-03-13 21:49:42,3778.0,58.0,853.0,138.0,168.0,100.0,986.0,11602.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",92.0,34,True,2024-02-16 06:58:50.000,16.1.1,234.0,ocrmypdf,conda-forge/ocrmypdf,,,,782.0,761.0,https://pypi.org/project/ocrmypdf,2024-02-16 06:58:50.000,21.0,79701.0,81733.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,61813.0,,1.0,2536.0,,,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +147,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-03-11 18:25:40.000000,2024-03-08 19:15:38,2453.0,22.0,986.0,204.0,2280.0,249.0,832.0,8301.0,Deep universal probabilistic programming with Python and PyTorch.,151.0,34,True,2024-02-19 18:03:28.000,1.9.0,35.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],116.0,,https://pypi.org/project/pyro-ppl,2024-02-19 18:03:28.000,116.0,335574.0,339599.0,https://anaconda.org/conda-forge/pyro-ppl,2024-02-20 17:06:11.848,144932.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +148,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-02-25 13:10:20.000000,2023-12-06 12:55:15,486.0,,2328.0,284.0,142.0,310.0,315.0,7948.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,34,True,2023-12-06 13:10:51.000,3.10.1,56.0,SpeechRecognition,conda-forge/speechrecognition,,,,873.0,21.0,https://pypi.org/project/SpeechRecognition,2023-12-06 13:02:22.000,852.0,711004.0,715128.0,https://anaconda.org/conda-forge/speechrecognition,2023-12-06 16:25:19.819,177349.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +149,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-02-09 07:53:55.073000,2024-02-09 06:45:29,1724.0,4.0,1293.0,149.0,207.0,178.0,145.0,7856.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,50.0,34,True,2024-02-09 06:52:05.000,1.1.3,39.0,pyod,conda-forge/pyod,,,,3378.0,3378.0,https://pypi.org/project/pyod,,,655616.0,657607.0,https://anaconda.org/conda-forge/pyod,2024-02-09 07:53:55.073,91618.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +150,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-02-11 06:38:37.000000,2024-02-11 06:36:31,669.0,8.0,329.0,71.0,107.0,32.0,135.0,7749.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",26.0,34,True,2023-10-01 01:13:46.000,0.7.0,14.0,einops,conda-forge/einops,,,,29399.0,28531.0,https://pypi.org/project/einops,2023-10-01 01:13:46.000,868.0,7009312.0,7013906.0,https://anaconda.org/conda-forge/einops,2023-10-01 10:01:09.036,188371.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +151,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-03-13 08:35:50.000000,2024-03-01 05:10:21,4343.0,113.0,870.0,142.0,476.0,88.0,772.0,6996.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,34,True,2024-03-01 06:47:02.000,1.8.1,24.0,stanza,stanfordnlp/stanza,,,,2632.0,2536.0,https://pypi.org/project/stanza,2024-03-01 06:42:39.000,96.0,215826.0,215979.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7353.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +152,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-03-13 16:33:56.000000,2024-03-13 16:33:55,2885.0,24.0,2225.0,175.0,1141.0,27.0,1414.0,6503.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,34,True,2024-02-22 17:42:45.000,3.5.0,49.0,OpenNMT-py,,,,['pytorch'],276.0,258.0,https://pypi.org/project/OpenNMT-py,2024-02-22 17:42:45.000,18.0,6417.0,6417.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +153,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-03-14 14:53:40.000000,2024-03-14 03:40:39,19395.0,582.0,461.0,52.0,2748.0,420.0,990.0,6488.0,"Visualize, create, and debug image and video datasets and model predictions.",114.0,34,True,2024-03-07 17:57:40.000,0.23.6,83.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",514.0,514.0,https://pypi.org/project/fiftyone,,,43824.0,43824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +154,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-03-12 11:34:49.000000,2024-03-12 11:34:48,2316.0,60.0,621.0,93.0,253.0,436.0,528.0,5126.0,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",93.0,34,True,2024-02-21 14:44:28.000,1.14.4,157.0,clearml,,allegroai/trains,,,1007.0,989.0,https://pypi.org/project/clearml,2024-03-03 11:45:33.000,18.0,290188.0,290756.0,,,,https://hub.docker.com/r/allegroai/trains,2.0,2201.0,,,,,,,,,2020-10-05 10:16:46.865671,,30237.0,,,,,,,,,,, +155,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-02-24 17:59:41.000000,2024-02-23 15:26:08,1639.0,4.0,839.0,119.0,524.0,145.0,337.0,4739.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,104.0,34,True,2024-01-05 09:13:47.000,0.23.1,52.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],12717.0,12526.0,https://pypi.org/project/mlxtend,2024-01-05 09:13:47.000,191.0,615640.0,622434.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,298977.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +156,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-03-14 11:43:39.000000,2024-02-14 22:32:35,1660.0,8.0,608.0,60.0,1805.0,155.0,1250.0,4432.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,444.0,34,True,2023-10-19 08:22:16.000,0.4.13,24.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2729.0,2729.0,https://pypi.org/project/pytorch-ignite,,,235626.0,238199.0,https://anaconda.org/pytorch/ignite,2023-10-19 08:25:55.130,177575.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +157,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2024-03-14 07:44:20.000000,2024-02-17 23:50:32,12156.0,89.0,1117.0,100.0,1317.0,149.0,743.0,4370.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",133.0,34,True,2024-02-17 23:58:41.000,1.17.1,58.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,502.0,491.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-02-17 23:56:02.000,11.0,24915.0,25740.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-02-18 02:39:29.665,36337.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +158,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-02-15 18:01:45.000000,2024-02-15 18:01:44,1293.0,3.0,2511.0,1973.0,533.0,386.0,1076.0,3925.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,34,True,2023-11-09 22:25:24.000,1.54.0,102.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2024-02-06 19:36:25.000,48.0,558186.0,558193.0,,,,,2.0,517.0,,,,,,,,,,,,,,,,,,,,,, +159,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,,2013-09-12 07:18:21.000,2024-03-14 12:15:39.000000,2024-03-13 01:35:27,3941.0,67.0,1033.0,152.0,1592.0,353.0,870.0,3624.0,Fast data visualization and GUI tools for scientific / engineering applications.,274.0,34,False,2024-03-07 18:06:04.000,pyqtgraph-0.13.4,14.0,pyqtgraph,conda-forge/pyqtgraph,,,,9001.0,9001.0,https://pypi.org/project/pyqtgraph,,,213880.0,225200.0,https://anaconda.org/conda-forge/pyqtgraph,2024-03-07 20:24:16.458,509407.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +160,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-02-06 10:10:29.000000,2024-02-06 10:10:27,1180.0,6.0,1678.0,147.0,210.0,5.0,684.0,3431.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],343.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,343.0,3746082.0,3748261.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-01-30 18:21:57.617,93729.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +161,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-03-14 11:34:24.000000,2024-02-27 17:05:41,1300.0,6.0,804.0,280.0,1445.0,312.0,514.0,3426.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",153.0,34,True,2024-02-22 21:21:31.000,0.17.1,32.0,torchtext,,,,['pytorch'],496.0,,https://pypi.org/project/torchtext,2024-02-22 19:21:01.000,496.0,546092.0,546092.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +162,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-03-13 19:40:46.000000,2024-03-13 19:32:31,1819.0,62.0,359.0,54.0,1557.0,71.0,407.0,2919.0,Bayesian optimization in PyTorch.,110.0,34,True,2024-02-27 06:16:38.000,0.10.0,43.0,botorch,conda-forge/botorch,,,['pytorch'],934.0,887.0,https://pypi.org/project/botorch,2024-02-27 06:16:38.000,47.0,191506.0,193838.0,https://anaconda.org/conda-forge/botorch,2024-02-27 09:02:55.942,100318.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +163,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-03-07 12:10:22.000000,2024-03-07 12:10:22,2293.0,19.0,584.0,69.0,481.0,245.0,702.0,2260.0,Survival analysis in Python.,117.0,34,True,2024-01-03 22:01:02.000,0.28.0,170.0,lifelines,conda-forge/lifelines,,,,2407.0,2273.0,https://pypi.org/project/lifelines,2024-01-03 22:01:02.000,134.0,476757.0,483613.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,315401.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +164,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-03-14 07:24:54.000000,2024-03-14 01:51:49,2894.0,141.0,285.0,68.0,1621.0,84.0,597.0,2243.0,Adaptive Experimentation Platform.,166.0,34,True,2024-03-01 16:28:08.000,0.3.7,40.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],697.0,668.0,https://pypi.org/project/ax-platform,2024-03-01 16:28:08.000,29.0,156752.0,157288.0,https://anaconda.org/conda-forge/ax-platform,2024-03-02 16:28:38.668,17705.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +165,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-03-14 15:06:09.000000,2024-03-13 20:50:36,4010.0,210.0,523.0,47.0,4241.0,208.0,915.0,2075.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,163.0,34,True,2024-03-11 21:09:24.000,0.35.1,56.0,pennylane,conda-forge/pennylane,,,,795.0,795.0,https://pypi.org/project/pennylane,,,56277.0,57548.0,https://anaconda.org/conda-forge/pennylane,2024-03-12 13:30:22.653,35575.0,,2.0,73.0,,,,,,,,,,,,,,,,,,,,,, +166,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-03-12 02:31:03.000000,2024-03-12 02:31:03,987.0,68.0,334.0,53.0,1131.0,232.0,379.0,2030.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,99.0,34,True,2024-02-18 02:19:37.000,1.17.1,51.0,optimum,conda-forge/optimum,,,,1836.0,1836.0,https://pypi.org/project/optimum,,,1002927.0,1003437.0,https://anaconda.org/conda-forge/optimum,2024-02-18 04:42:34.186,11738.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +167,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-12-13 04:29:28.000000,2023-12-13 04:29:27,1518.0,,612.0,58.0,1880.0,87.0,896.0,1680.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,34,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],14412.0,14187.0,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,225.0,956251.0,956251.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +168,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-03-08 13:48:08.000000,2024-03-01 15:29:40,1173.0,12.0,364.0,66.0,599.0,268.0,348.0,1447.0,A Jupyter - Leaflet.js bridge.,88.0,34,True,2024-01-23 17:57:40.189,0.18.2,81.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],7855.0,7682.0,https://pypi.org/project/ipyleaflet,2024-01-23 17:54:03.000,167.0,137494.0,174918.0,https://anaconda.org/conda-forge/ipyleaflet,2024-01-23 20:31:49.209,1106828.0,,2.0,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-01-23 17:57:40.189,6.0,13363.0,,,,,,,,,,,,,, +169,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-03-13 20:21:53.000000,2024-03-13 20:21:52,2995.0,57.0,356.0,55.0,1139.0,314.0,941.0,1335.0,Cartopy - a cartographic python library with matplotlib support.,125.0,34,True,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,5047.0,4571.0,https://pypi.org/project/cartopy,2023-08-05 00:57:41.000,476.0,232555.0,306866.0,https://anaconda.org/conda-forge/cartopy,2023-10-24 18:58:07.197,3418345.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +170,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-03-13 23:47:17.000000,2024-03-07 14:00:56,2807.0,41.0,275.0,34.0,207.0,42.0,498.0,1216.0,Python interface for igraph.,72.0,34,False,2024-02-14 11:09:57.000,0.11.4,40.0,python-igraph,conda-forge/igraph,,,,4251.0,3833.0,https://pypi.org/project/python-igraph,2024-02-14 11:09:57.000,418.0,529491.0,547699.0,https://anaconda.org/conda-forge/igraph,2024-02-13 16:32:10.931,505062.0,,1.0,562311.0,,,,,,,,,,,,,,,,,,,,,, +171,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-03-13 18:56:32.000000,2024-03-04 15:49:31,14804.0,17.0,506.0,50.0,2285.0,397.0,951.0,727.0,Workflows and interfaces for neuroimaging packages.,252.0,34,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,4271.0,4093.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,178.0,141140.0,154967.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,594587.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +172,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-02-24 12:51:59.000000,2022-06-10 09:12:18,238.0,,13349.0,1565.0,227.0,760.0,584.0,51338.0,The worlds simplest facial recognition api for Python and the command line.,54.0,33,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],87.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,66.0,102771.0,103256.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,19805.0,,2.0,1227.0,,,,,,,,,,,,,,,,,,,,,, +173,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-03-14 10:15:13.000000,2024-03-13 07:24:13,3027.0,107.0,4103.0,372.0,3705.0,349.0,1176.0,36719.0,"Making large AI models cheaper, faster and more accessible.",170.0,33,True,2024-03-07 15:38:25.000,0.3.6,36.0,,,,,,297.0,297.0,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +174,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,libpng-2.0,2018-08-02 17:56:45.000,2024-03-14 13:56:06.000000,2024-03-14 13:56:06,17386.0,848.0,2631.0,377.0,4754.0,433.0,3334.0,20184.0,The platform for customizing AI from enterprise data.,821.0,33,False,2024-02-19 15:20:51.000,24.2.3.0,455.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2024-02-19 15:21:49.000,,12921.0,12921.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +175,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-01-23 01:48:22.000000,2023-07-11 13:03:36,1421.0,,3770.0,757.0,1134.0,403.0,588.0,18888.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],536.0,498.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,38.0,3433.0,3433.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +176,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4627.0,1006.0,1869.0,357.0,658.0,16965.0,"Zipline, a Pythonic Algorithmic Trading Library.",160.0,33,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1071.0,985.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,86.0,2755.0,2933.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7476.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +177,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-03-07 11:44:47.000000,2023-10-26 05:31:53,3012.0,,1800.0,284.0,3504.0,373.0,1677.0,13643.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,33,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,623.0,585.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,38.0,15668.0,15668.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +178,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-01-02 11:17:53.000000,2024-01-02 11:17:47,862.0,3.0,1363.0,419.0,85.0,32.0,159.0,9682.0,TensorFlow-based neural network library.,58.0,33,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1299.0,1246.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,53.0,24430.0,24950.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,27078.0,,3.0,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,,,,, +179,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-02-26 15:57:08.680000,2024-02-23 19:03:07,2440.0,6.0,1539.0,289.0,430.0,284.0,637.0,9451.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,118.0,33,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],2704.0,2642.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,62.0,39468.0,44919.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,245339.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +180,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,898.0,261.0,148.0,108.0,103.0,9079.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,25288.0,23140.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,2148.0,6100471.0,6106167.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,524033.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +181,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-03-11 07:55:17.000000,2024-03-08 03:19:52,2899.0,5.0,1612.0,87.0,1632.0,188.0,1828.0,8125.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",119.0,33,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1142.0,1142.0,https://pypi.org/project/paddleseg,,,2374.0,2374.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +182,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-03-14 08:47:17.000000,2024-03-14 00:29:44,870.0,56.0,693.0,279.0,1152.0,310.0,364.0,7454.0,"Build and manage real-life ML, AI, and data science projects with ease!.",83.0,33,True,2024-03-14 00:30:18.000,2.11.5,111.0,metaflow,conda-forge/metaflow,,,,638.0,610.0,https://pypi.org/project/metaflow,2024-02-27 01:49:00.000,28.0,212191.0,215860.0,https://anaconda.org/conda-forge/metaflow,2024-02-27 10:32:57.215,161439.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +183,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-03-14 14:48:25.000000,2024-03-14 14:45:12,38478.0,485.0,810.0,147.0,9278.0,1064.0,5034.0,7117.0,cuDF - GPU DataFrame Library.,273.0,33,True,2024-02-27 15:12:35.000,24.02.02,47.0,cudf,,,,,63.0,52.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,11.0,2594.0,2594.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +184,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-03-12 17:04:46.000000,2024-03-04 19:42:55,1347.0,32.0,858.0,158.0,1690.0,169.0,823.0,6982.0,An open source python library for automated feature engineering.,72.0,33,True,2024-02-26 17:29:32.000,1.30.0,105.0,featuretools,conda-forge/featuretools,,,,1634.0,1556.0,https://pypi.org/project/featuretools,2024-02-26 17:29:32.000,78.0,53237.0,57168.0,https://anaconda.org/conda-forge/featuretools,2024-02-27 14:54:50.393,176936.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +185,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-12-05 22:52:30.000000,2023-11-16 08:43:39,1418.0,,872.0,220.0,220.0,174.0,233.0,6726.0,Efficiently computes derivatives of numpy code.,56.0,33,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,7893.0,7566.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,327.0,1282802.0,1301873.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,400501.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +186,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-03-14 14:51:57.000000,2024-03-14 10:33:58,3265.0,6.0,911.0,137.0,644.0,62.0,1114.0,6568.0,Python library for audio and music analysis.,120.0,33,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1573.0,,https://pypi.org/project/librosa,2023-08-16 13:52:19.000,1573.0,2656556.0,2672945.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,721120.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +187,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-03-14 06:04:19.000000,2024-03-14 05:57:03,3011.0,119.0,709.0,140.0,99.0,88.0,327.0,5948.0,Fit interpretable models. Explain blackbox machine learning.,42.0,33,True,2024-02-14 22:27:38.000,0.5.1,47.0,interpret,,,,['jupyter'],668.0,638.0,https://pypi.org/project/interpret,2024-02-08 10:30:09.000,30.0,80488.0,80488.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +188,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1397.0,291.0,6588.0,12.0,2030.0,5850.0,A flexible framework of neural networks for deep learning.,324.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3600.0,3196.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,404.0,18011.0,18351.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,16683.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +189,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-02-02 08:20:24.000000,2023-07-28 00:16:45,2332.0,,1101.0,191.0,234.0,270.0,281.0,5500.0,Distributed Evolutionary Algorithms in Python.,87.0,33,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,4888.0,4515.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,373.0,192063.0,200823.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,359184.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +190,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-03-14 10:12:16.000000,2024-03-13 22:11:53,29682.0,385.0,1582.0,183.0,2064.0,28.0,1571.0,4718.0,"mlpack: a fast, header-only C++ machine learning library.",311.0,33,True,2023-12-12 00:54:05.000,4.3.0,46.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2023-12-16 03:56:46.000,1.0,3954.0,7700.0,https://anaconda.org/conda-forge/mlpack,2023-11-29 00:35:31.566,168604.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +191,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-03-14 14:30:10.000000,2024-03-11 17:42:57,1062.0,12.0,461.0,233.0,735.0,191.0,332.0,4478.0,Model interpretability and understanding for PyTorch.,110.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],1947.0,1884.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,63.0,207516.0,208314.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,21546.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +192,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-03-13 17:24:25.000000,2024-03-13 17:24:24,1136.0,23.0,588.0,114.0,855.0,284.0,1035.0,3975.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",161.0,33,True,2023-11-01 14:46:14.000,7.1,46.0,coremltools,conda-forge/coremltools,,,,3820.0,3647.0,https://pypi.org/project/coremltools,2023-11-01 14:33:59.000,173.0,188628.0,190055.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,53712.0,,2.0,9185.0,,,,,,,,,,,,,,,,,,,,,, +193,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-03-04 07:54:57.000000,2023-12-03 03:47:34,490.0,,595.0,66.0,215.0,191.0,154.0,3907.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,33,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,6162.0,6096.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,66.0,814851.0,818243.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,132298.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +194,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-03-08 18:03:37.000000,2024-03-08 17:56:57,1272.0,38.0,233.0,35.0,427.0,85.0,206.0,3443.0,Lightning fast forecasting with statistical and econometric models.,38.0,33,True,2024-02-05 21:45:31.000,1.7.3,31.0,statsforecast,conda-forge/statsforecast,,,,770.0,744.0,https://pypi.org/project/statsforecast,2024-02-05 21:45:31.000,26.0,574931.0,577424.0,https://anaconda.org/conda-forge/statsforecast,2024-02-06 03:02:36.606,59836.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +195,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-02-13 11:58:20.000000,2024-02-13 11:57:59,1492.0,4.0,357.0,91.0,737.0,129.0,441.0,3176.0,Quickly and accurately render even the largest data.,55.0,33,True,2023-10-26 15:10:16.000,0.16.0,33.0,datashader,conda-forge/datashader,,,,3717.0,3717.0,https://pypi.org/project/datashader,,,459050.0,475929.0,https://anaconda.org/conda-forge/datashader,2023-10-27 12:10:53.716,776461.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +196,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-03-14 14:49:45.000000,2024-03-13 15:34:08,2892.0,152.0,293.0,24.0,2676.0,183.0,1648.0,3008.0,"Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data..",80.0,33,True,2024-02-29 10:31:19.000,1.25.0,100.0,rubrix,conda-forge/rubrix,,,,2296.0,2296.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,1310.0,2379.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,28877.0,,2.0,,,,argilla-io/argilla,,,,,,,,,,,,,,,,,,, +197,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-03-14 14:52:28.000000,2024-02-27 19:07:25,2302.0,9.0,624.0,76.0,2859.0,204.0,715.0,2353.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",222.0,33,True,2024-02-22 21:42:46.000,2.2.1,32.0,torchaudio,,,,['pytorch'],586.0,,https://pypi.org/project/torchaudio,2024-02-22 19:20:36.000,586.0,2726623.0,2726623.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +198,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-01-11 18:01:50.000000,2023-12-23 13:05:00,887.0,10.0,356.0,84.0,168.0,216.0,146.0,2311.0,D3 Renderings of Matplotlib Graphics.,52.0,33,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,6079.0,5655.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,415.0,498076.0,503055.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,193671.0,,2.0,,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,676.0,,,,,,,,,,,,,, +199,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-03-14 14:30:29.000000,2024-03-14 14:30:28,13228.0,241.0,279.0,35.0,1756.0,463.0,625.0,988.0,Python package for earth-observing satellite data processing.,152.0,33,False,2024-02-21 11:29:00.000,0.47.0,93.0,satpy,conda-forge/satpy,,,,140.0,122.0,https://pypi.org/project/satpy,2024-02-21 11:29:00.000,18.0,57561.0,61642.0,https://anaconda.org/conda-forge/satpy,2024-02-21 15:57:59.122,183654.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +200,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-03-13 22:07:47.000000,2024-03-13 22:07:46,13853.0,199.0,419.0,50.0,2051.0,151.0,766.0,659.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",157.0,33,False,2024-03-08 22:14:36.000,1.9.0,28.0,dipy,conda-forge/dipy,,,,1132.0,1019.0,https://pypi.org/project/dipy,2024-03-08 22:14:36.000,113.0,31104.0,41323.0,https://anaconda.org/conda-forge/dipy,2024-03-10 04:37:57.447,429200.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +201,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-03-09 17:12:12.000000,2024-02-10 14:20:58,4668.0,2.0,3138.0,249.0,715.0,68.0,946.0,27784.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",164.0,32,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",26.0,,https://pypi.org/project/tts,2023-12-12 15:27:06.000,26.0,98496.0,154865.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,10485.0,,2.0,2016295.0,,,,,,,,,,,,,,,,,,,,,, +202,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-03-14 15:10:13.000000,2024-03-14 15:10:12,3800.0,703.0,2515.0,259.0,3134.0,92.0,443.0,22773.0,You like pytorch? You like micrograd? You love tinygrad!.,288.0,32,True,2024-01-09 18:16:07.000,0.8.0,5.0,,,,,['pytorch'],49.0,49.0,,,,,,,,,,1.0,,,,tinygrad/tinygrad,,,,,,,,,,,,,,,,,,, +203,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3340.0,467.0,671.0,575.0,672.0,14673.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,True,2020-06-17 16:10:01.000,1.15.7,75.0,tensor2tensor,,,,['tensorflow'],1458.0,1458.0,https://pypi.org/project/tensor2tensor,,,5917.0,5917.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +204,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-10-25 13:56:47.000000,2021-07-29 23:17:25,531.0,,1760.0,264.0,114.0,96.0,535.0,11206.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,32,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,5375.0,5195.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,180.0,326583.0,328862.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,198344.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +205,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1159.0,337.0,1683.0,523.0,1294.0,11150.0,Turi Create simplifies the development of custom machine learning models.,86.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,389.0,368.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,21.0,26244.0,26372.0,,,,,3.0,9642.0,,,,,,,,,,,,,,,,,,,,,, +206,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-03-13 22:52:03.000000,2023-10-02 22:40:55,1387.0,,1406.0,303.0,889.0,132.0,759.0,9051.0,AutoML library for deep learning.,143.0,32,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],656.0,643.0,https://pypi.org/project/autokeras,2023-01-28 18:46:30.271,13.0,15960.0,16194.0,,,,,2.0,17821.0,,,,,,,,,,,,,,,,,,,,,, +207,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-03-12 22:06:49.000000,2024-03-12 13:59:31,1145.0,21.0,1229.0,147.0,161.0,247.0,1241.0,8160.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,140.0,32,False,2024-02-22 18:30:39.000,0.7.6,17.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],755.0,741.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,6141.0,9867.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,193791.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +208,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-11-12 14:28:03.000000,2023-11-12 14:28:03,528.0,,870.0,86.0,274.0,78.0,376.0,7778.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,32,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,41830.0,40822.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,1008.0,2530783.0,2556739.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1141885.0,,2.0,413.0,,,,,,,,,,,,,,,,,,,,,, +209,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-03-14 13:57:07.000000,2024-03-12 08:13:00,1160.0,40.0,777.0,60.0,923.0,253.0,1128.0,7101.0,A python library for user-friendly forecasting and anomaly detection on time series.,112.0,32,True,2024-03-05 21:28:26.000,0.28.0,41.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,549.0,544.0,https://pypi.org/project/u8darts,2024-03-05 21:28:26.000,5.0,24110.0,25370.0,https://anaconda.org/conda-forge/u8darts-all,2024-03-06 11:14:27.080,40099.0,https://hub.docker.com/r/unit8/darts,2.0,,,,,,,,,,2024-03-05 10:14:43.603879,,523.0,,,,,,,,,,, +210,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-03-13 19:58:21.000000,2024-03-13 19:58:20,1220.0,2.0,1078.0,125.0,274.0,250.0,412.0,7033.0,Distributed Asynchronous Hyperparameter Optimization in Python.,103.0,32,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,14480.0,13972.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,508.0,2181036.0,2192419.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,751295.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +211,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-02-12 19:58:33.000000,2024-02-12 19:58:33,1768.0,7.0,761.0,129.0,268.0,442.0,331.0,6846.0,Uniform Manifold Approximation and Projection.,128.0,32,True,2023-11-18 03:11:17.000,0.5.5,39.0,umap-learn,conda-forge/umap-learn,,,,561.0,1.0,https://pypi.org/project/umap-learn,2023-11-18 03:11:17.000,560.0,716397.0,767915.0,https://anaconda.org/conda-forge/umap-learn,2024-02-04 15:29:26.812,2318340.0,,2.0,,5.0,,,,,,,,,,,,,,,,,,,,, +212,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-03-13 10:57:14.000000,2024-03-13 09:36:57,2708.0,4.0,1130.0,209.0,1048.0,19.0,615.0,6499.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,32,True,2024-03-13 10:57:14.000,1.6.0,63.0,deeppavlov,,,,['tensorflow'],385.0,378.0,https://pypi.org/project/deeppavlov,2024-03-13 10:57:14.000,7.0,9734.0,9734.0,,,,,2.0,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,,,,, +213,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,,1850.0,198.0,206.0,12.0,1343.0,6295.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1532.0,1485.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,47.0,11468.0,11826.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10348.0,,3.0,163.0,,,,,,,,,,,,,,,,,,,,,, +214,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2024-03-08 17:29:10.000000,2023-12-16 19:23:13,1208.0,6.0,650.0,65.0,132.0,53.0,434.0,5682.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",40.0,32,True,2023-12-16 19:24:49.000,2.4.1,209.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],1325.0,1294.0,https://pypi.org/project/pytorch-metric-learning,2023-12-16 19:14:54.000,31.0,439032.0,439256.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11224.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +215,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-03-14 13:10:03.000000,2024-03-14 13:10:02,2169.0,27.0,279.0,45.0,2133.0,336.0,654.0,4673.0,Aim An easy-to-use & supercharged open-source experiment tracker.,64.0,32,True,2024-03-14 12:54:41.000,3.19.1,58.0,aim,conda-forge/aim,,,,478.0,478.0,https://pypi.org/project/aim,,,116709.0,118034.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,42406.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +216,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2023-11-22 19:57:21.457000,2023-11-21 23:43:00,614.0,,152.0,76.0,66.0,17.0,120.0,3675.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,32,True,2023-11-21 23:50:46.000,6.1.3,49.0,ftfy,conda-forge/ftfy,,,,18176.0,17518.0,https://pypi.org/project/ftfy,2023-11-21 23:50:46.000,658.0,4140691.0,4148107.0,https://anaconda.org/conda-forge/ftfy,2023-11-22 19:57:21.457,281820.0,,2.0,,4.0,,,,,,,,,,,,,,,,,,,,, +217,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-02-23 23:38:39.000000,2024-02-23 23:38:38,1423.0,31.0,453.0,55.0,768.0,40.0,476.0,3585.0,NeuralProphet: A simple forecasting package.,52.0,32,True,2024-02-23 20:22:47.000,0.8.0,34.0,neuralprophet,,,,['pytorch'],400.0,395.0,https://pypi.org/project/neuralprophet,2024-02-23 20:22:47.000,5.0,101956.0,101956.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +218,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,577.0,77.0,78.0,63.0,161.0,3051.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,5509.0,5341.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,168.0,2089864.0,2092841.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,241208.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +219,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-03-10 19:55:31.000000,2024-03-10 19:55:31,475.0,11.0,732.0,119.0,124.0,64.0,370.0,2926.0,"Hidden Markov Models in Python, with scikit-learn like API.",47.0,32,True,2024-03-02 03:05:38.000,0.3.2,13.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2498.0,2351.0,https://pypi.org/project/hmmlearn,2024-03-02 03:05:38.000,147.0,158401.0,163359.0,https://anaconda.org/conda-forge/hmmlearn,2024-03-02 05:37:57.119,208254.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +220,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-03-07 18:42:10.000000,2024-02-27 20:07:45,1636.0,3.0,323.0,60.0,187.0,126.0,192.0,2758.0,The machine learning toolkit for time series analysis in Python.,43.0,32,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1227.0,1178.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,49.0,385149.0,413620.0,https://anaconda.org/conda-forge/tslearn,2024-02-04 18:41:01.911,1281210.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +221,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-03-11 17:08:08.000000,2024-03-11 17:08:03,974.0,11.0,222.0,40.0,530.0,71.0,172.0,2717.0,JAX-based neural network library.,81.0,32,True,2024-02-28 18:11:54.000,0.0.12,15.0,dm-haiku,conda-forge/dm-haiku,,,,1835.0,1745.0,https://pypi.org/project/dm-haiku,2024-02-28 18:11:54.000,90.0,202260.0,202669.0,https://anaconda.org/conda-forge/dm-haiku,2024-02-28 22:18:23.853,15155.0,,3.0,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,,,,, +222,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-03-11 15:15:19.188000,2021-10-12 13:32:38,1570.0,,541.0,65.0,546.0,322.0,393.0,2713.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-03-11 14:16:57.000,0.10.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,278.0,,https://pypi.org/project/scikit-optimize,2024-03-11 14:16:57.000,278.0,645953.0,662304.0,https://anaconda.org/conda-forge/scikit-optimize,2024-03-11 15:15:19.188,703093.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +223,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-03-08 20:37:28.000000,2024-03-08 20:01:13,2938.0,10.0,692.0,78.0,857.0,272.0,629.0,2592.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",125.0,32,True,2024-03-08 20:41:28.000,0.1.25,25.0,pgmpy,,,,,917.0,884.0,https://pypi.org/project/pgmpy,2024-03-08 20:00:14.000,33.0,49458.0,49465.0,,,,,2.0,315.0,,,,,,,,,,,,,,,,,,,,,, +224,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-03-04 04:39:24.000000,2023-11-17 20:35:45,543.0,,161.0,44.0,77.0,7.0,127.0,1973.0,a python library for doing approximate and phonetic matching of strings.,31.0,32,True,2023-11-17 20:44:09.000,1.0.3,42.0,jellyfish,conda-forge/jellyfish,,,,8787.0,8331.0,https://pypi.org/project/jellyfish,2023-11-17 20:44:09.000,456.0,2709051.0,2726786.0,https://anaconda.org/conda-forge/jellyfish,2023-11-17 23:08:09.681,798102.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +225,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-11-20 21:01:48.000000,2018-10-12 15:53:05,1251.0,,282.0,51.0,157.0,104.0,218.0,1584.0,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,9848.0,9314.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,534.0,478659.0,480284.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,138204.0,,3.0,,,,,,,,,,,,,,,,,,,,,geocoder,, +226,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-02-23 02:51:07.000000,2024-02-23 02:45:37,1079.0,2.0,227.0,34.0,251.0,50.0,271.0,1497.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,32,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,7517.0,7517.0,https://pypi.org/project/pmdarima,,,2700263.0,2725592.0,https://anaconda.org/conda-forge/pmdarima,2023-10-27 13:29:40.913,1038498.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +227,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2024-03-08 08:08:06.000000,2024-02-23 12:54:19,825.0,8.0,327.0,120.0,778.0,215.0,166.0,1453.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",84.0,32,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],3614.0,3584.0,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,30.0,1005943.0,1005943.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +228,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-02-23 21:54:31.000000,2024-02-23 21:54:27,1531.0,9.0,149.0,41.0,132.0,4.0,640.0,1157.0,A Python data analysis library that is optimized for humans instead of machines.,52.0,32,True,,,10.0,agate,conda-forge/agate,,,,2883.0,2883.0,https://pypi.org/project/agate,,,5808112.0,5812984.0,https://anaconda.org/conda-forge/agate,2023-12-21 21:50:42.816,165655.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +229,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-03-14 13:56:00.000000,2024-03-13 02:52:34,11408.0,166.0,237.0,57.0,12062.0,222.0,2173.0,925.0,Cloud-native genomic dataframes and batch computing.,92.0,32,True,2024-02-20 18:12:18.000,0.2.128,148.0,hail,,,,['spark'],143.0,125.0,https://pypi.org/project/hail,2024-02-20 18:12:18.000,18.0,51374.0,51374.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +230,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-01-05 15:46:09.327000,2024-01-04 18:54:38,558.0,9.0,107.0,32.0,60.0,71.0,79.0,919.0,Describing statistical models in Python using symbolic formulas.,19.0,32,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,93474.0,90717.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,2757.0,14409185.0,14735487.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,9789077.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +231,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-03-14 06:46:47.000000,2024-03-11 03:15:09,164483.0,2695.0,89.0,52.0,2087.0,105.0,284.0,675.0,TensorFlow ROCm port.,4577.0,32,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,6.0,8557.0,8557.0,,,,,3.0,21.0,,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,,,,, +232,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-01-07 01:32:14.000000,2023-07-13 08:50:20,531.0,,2708.0,385.0,119.0,228.0,561.0,24665.0,Deezer source separation library including pretrained models.,19.0,31,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],674.0,668.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,13739.0,72081.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,79433.0,,2.0,3011228.0,,,,,,,,,,,,,,,,,,,,,, +233,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-18 03:42:44.000000,2023-03-28 11:49:55,2665.0,,2065.0,188.0,1005.0,573.0,713.0,12431.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,31,True,2022-11-28 08:29:05.000,2.3.1,29.0,paddlehub,,,,['paddle'],1551.0,1551.0,https://pypi.org/project/paddlehub,,,5175.0,5186.0,,,,,2.0,667.0,,,,,,,,,,,,,,,,,,,,,, +234,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2023-12-02 19:19:10.000000,2020-11-30 04:34:51,613.0,,2436.0,458.0,260.0,577.0,363.0,9607.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5310.0,4821.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,489.0,6571.0,6571.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +235,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-03-13 21:43:12.000000,2024-03-13 19:02:30,1580.0,97.0,640.0,81.0,686.0,99.0,235.0,8087.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",45.0,31,False,2024-03-08 16:49:38.000,2.6.2,27.0,cleanlab,conda-forge/cleanlab,,,,287.0,277.0,https://pypi.org/project/cleanlab,2024-03-08 16:49:38.000,10.0,13751.0,14331.0,https://anaconda.org/conda-forge/cleanlab,2024-03-10 18:14:34.955,20303.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +236,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-03-11 18:51:27.000000,2024-03-11 18:51:26,551.0,4.0,1203.0,167.0,429.0,63.0,470.0,8031.0,Automatic extraction of relevant features from time series:.,92.0,31,True,2024-01-28 09:46:21.000,0.20.2,31.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],99.0,21.0,https://pypi.org/project/tsfresh,2024-01-28 09:46:21.000,78.0,244674.0,273726.0,https://anaconda.org/conda-forge/tsfresh,2024-01-28 10:39:22.145,1336435.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +237,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-03-06 16:25:01.000000,2024-03-06 05:23:22,360.0,5.0,1455.0,134.0,134.0,12.0,320.0,7370.0,A Python implementation of global optimization with gaussian processes.,44.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2549.0,2430.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,119.0,312442.0,312443.0,,,,,2.0,143.0,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,,,,, +238,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-03-12 23:11:39.027000,2024-03-12 09:11:14,5954.0,91.0,942.0,111.0,1626.0,88.0,636.0,7350.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2024-03-12 18:26:49.000,2.9.0,51.0,perspective-python,conda-forge/perspective,,,['jupyter'],115.0,115.0,https://pypi.org/project/perspective-python,,,8050.0,20598.0,https://anaconda.org/conda-forge/perspective,2024-03-12 23:11:39.027,524812.0,,2.0,2399.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,,,587.0,,,,,,,,,,,,,, +239,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-03-14 10:42:01.000000,2024-03-13 17:11:48,2119.0,45.0,826.0,100.0,2364.0,325.0,907.0,6954.0,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",117.0,31,True,2023-11-30 05:58:09.000,1.0.0,1421.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",10.0,2.0,https://pypi.org/project/autogluon,2024-03-14 09:05:14.000,8.0,128156.0,128282.0,,,,https://hub.docker.com/r/autogluon/autogluon,2.0,,,,,,,,,,2024-03-07 07:21:23.461952,17.0,7068.0,,,,,,,,,,, +240,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1594.0,304.0,294.0,152.0,268.0,5379.0,Portfolio and risk analytics in Python.,59.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1009.0,975.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,10096.0,10272.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12911.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +241,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2024-03-07 14:28:38.963000,2024-03-06 14:52:20,787.0,13.0,373.0,74.0,284.0,58.0,508.0,4492.0,Visualizer for pandas data structures.,30.0,31,True,2024-03-07 14:03:25.000,3.11.0,181.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1073.0,1050.0,https://pypi.org/project/dtale,2024-03-07 14:02:27.000,23.0,56700.0,62484.0,https://anaconda.org/conda-forge/dtale,2024-03-07 14:28:38.963,266105.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +242,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-01-27 06:33:38.000000,2022-01-27 13:24:16,139.0,,1010.0,153.0,115.0,95.0,79.0,4462.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,,,3.0,imutils,conda-forge/imutils,,,,41229.0,41229.0,https://pypi.org/project/imutils,,,477628.0,481174.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,156050.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +243,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-02-17 21:29:54.000000,2023-11-13 07:19:19,1344.0,,375.0,71.0,367.0,97.0,460.0,4145.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,31,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,3004.0,2894.0,https://pypi.org/project/sacred,2023-11-13 07:24:08.000,110.0,35141.0,35309.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,4724.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +244,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-01-13 11:36:10.000000,2023-11-02 13:49:44,662.0,,822.0,150.0,126.0,124.0,104.0,3976.0,Technical Analysis Library using Pandas and Numpy.,34.0,31,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,3154.0,3104.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,50.0,83971.0,84607.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,23548.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +245,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-02-05 02:43:00.000000,2023-12-19 14:36:52,3303.0,29.0,537.0,121.0,370.0,77.0,737.0,3946.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,31,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,371.0,321.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,50.0,84248.0,85843.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,43070.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +246,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-03-06 01:54:40.000000,2024-02-20 18:46:12,1088.0,11.0,351.0,60.0,1344.0,125.0,174.0,3819.0,A Python toolbox for performing gradient-free optimization.,54.0,31,True,2024-02-20 14:59:08.000,1.0.2,47.0,nevergrad,conda-forge/nevergrad,,,,665.0,632.0,https://pypi.org/project/nevergrad,2024-02-20 14:59:08.000,33.0,69073.0,70077.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,46225.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +247,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,186.0,737.0,274.0,669.0,3402.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,285.0,256.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,29.0,284380.0,284549.0,,,,,3.0,15073.0,,,,,,,,,,,,,,,,,,,,,, +248,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-03-11 01:00:49.000000,2024-03-11 00:59:40,984.0,4.0,570.0,99.0,335.0,35.0,715.0,3229.0,"Fast, flexible and easy to use probabilistic modelling in Python.",73.0,31,True,2024-03-11 01:00:49.000,1.0.4,74.0,pomegranate,conda-forge/pomegranate,,,,1123.0,1064.0,https://pypi.org/project/pomegranate,2024-03-11 01:00:49.000,59.0,62428.0,65541.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,143229.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +249,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-03-13 21:54:00.000000,2024-03-13 21:53:37,1286.0,13.0,275.0,53.0,219.0,51.0,416.0,2943.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,36.0,31,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,689.0,673.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,16.0,236689.0,258108.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,963858.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +250,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-03-12 17:00:49.000000,2024-03-12 14:52:27,823.0,38.0,332.0,41.0,899.0,32.0,275.0,2839.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",45.0,31,True,2024-03-04 14:50:47.000,0.8.1,15.0,python-doctr,,,,"['tensorflow', 'pytorch']",264.0,264.0,https://pypi.org/project/python-doctr,,,26264.0,95271.0,,,,,2.0,2553287.0,,,,,,,,,,,,,,,,,,,,,, +251,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-03-13 03:30:48.000000,2024-02-02 23:52:02,700.0,1.0,249.0,41.0,809.0,71.0,284.0,2819.0,PyTorch extensions for high performance and large scale training.,73.0,31,True,2022-12-11 18:09:19.000,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],4424.0,4424.0,https://pypi.org/project/fairscale,,,489662.0,495871.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,173878.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +252,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2024-03-05 15:33:09.039000,2024-03-04 19:25:47,1086.0,7.0,386.0,62.0,493.0,207.0,269.0,2801.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],3393.0,3327.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,66.0,186819.0,187741.0,https://anaconda.org/conda-forge/keras-tuner,2024-03-05 15:33:09.039,28589.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +253,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-03-13 14:32:41.000000,2024-03-13 08:23:52,1162.0,31.0,234.0,28.0,1004.0,99.0,412.0,2703.0,A python library for self-supervised learning on images.,38.0,31,True,2024-03-13 08:37:31.000,1.5.1,115.0,lightly,,,,['pytorch'],226.0,219.0,https://pypi.org/project/lightly,2024-03-13 08:38:07.000,7.0,28556.0,28556.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +254,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2024-02-06 22:15:06.000000,2023-11-20 19:03:21,997.0,,478.0,57.0,136.0,341.0,166.0,2646.0,A high performance implementation of HDBSCAN clustering.,87.0,31,True,2023-07-18 17:54:02.116,0.8.33,51.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],3436.0,3203.0,https://pypi.org/project/hdbscan,2023-11-20 19:06:35.000,233.0,413992.0,458317.0,https://anaconda.org/conda-forge/hdbscan,2023-10-06 14:12:48.829,1817352.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +255,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2023-12-13 13:51:09.000000,2023-12-13 13:51:08,953.0,,398.0,39.0,149.0,45.0,240.0,2355.0,A library of sklearn compatible categorical variable encoders.,70.0,31,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1715.0,1540.0,https://pypi.org/project/category_encoders,2023-10-29 20:29:52.000,175.0,1519913.0,1528580.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,251371.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +256,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-03-13 20:32:35.000000,2024-03-13 20:32:35,1365.0,23.0,304.0,22.0,45.0,34.0,200.0,2156.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,31,True,2024-03-12 20:06:51.000,0.4.6.1,90.0,explainerdashboard,conda-forge/explainerdashboard,,,,460.0,450.0,https://pypi.org/project/explainerdashboard,2023-12-17 19:42:36.000,10.0,85469.0,86568.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-12 22:47:59.605,42887.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +257,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2024-02-21 22:30:58.000000,2024-02-19 19:00:58,3685.0,17.0,188.0,50.0,1353.0,118.0,716.0,1953.0,Ahead of Time compiler for numeric kernels.,72.0,31,True,,,30.0,pythran,conda-forge/pythran,,,,1884.0,1884.0,https://pypi.org/project/pythran,,,205864.0,216625.0,https://anaconda.org/conda-forge/pythran,2024-01-08 06:40:29.964,451967.0,,2.0,,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran +258,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-03-14 12:16:02.000000,2024-03-14 12:16:01,197.0,6.0,251.0,56.0,73.0,50.0,222.0,1917.0,A Python wrapper for the tesseract-ocr API.,30.0,31,True,2023-10-09 13:37:06.000,2.6.2,16.0,tesserocr,conda-forge/tesserocr,,,,949.0,949.0,https://pypi.org/project/tesserocr,,,58772.0,61257.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,131694.0,,2.0,131.0,,,,,,,,,,,,,,,,,,,,,, +259,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-03-04 22:08:24.000000,2023-12-27 10:12:23,938.0,1.0,211.0,50.0,311.0,123.0,125.0,1750.0,Evaluate: A library for easily evaluating machine learning models and datasets.,124.0,31,True,2023-10-13 15:57:18.000,0.4.1,9.0,evaluate,,,,,7347.0,7347.0,https://pypi.org/project/evaluate,,,2313593.0,2313593.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +260,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2024-02-28 17:36:05.000000,2024-02-27 19:12:34,4150.0,10.0,1075.0,154.0,1094.0,55.0,623.0,1733.0,Documentation and samples for ArcGIS API for Python.,89.0,31,True,2023-10-03 15:37:18.000,2.2.0,42.0,arcgis,,esridocker/arcgis-api-python-notebook,,,37.0,4.0,https://pypi.org/project/arcgis,2024-02-28 17:36:05.000,33.0,131998.0,132116.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,3.0,10690.0,,,,,,,,,,,,,,,,,,,,,, +261,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-03-05 19:58:22.000000,2024-03-05 19:49:17,712.0,11.0,310.0,43.0,364.0,71.0,209.0,1576.0,Training PyTorch models with differential privacy.,77.0,31,True,2024-02-11 17:28:30.000,1.4.1,21.0,opacus,conda-forge/opacus,,,['pytorch'],768.0,748.0,https://pypi.org/project/opacus,2024-02-11 17:28:30.000,20.0,121914.0,122415.0,https://anaconda.org/conda-forge/opacus,2024-02-11 19:23:25.249,12976.0,,2.0,108.0,,,,,,,,,,,,,,,,,,,,,, +262,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-03-14 13:20:28.000000,2024-03-13 20:01:29,3914.0,242.0,46.0,167.0,511.0,140.0,384.0,1434.0,Multiplatform plotting library based on the Grammar of Graphics.,20.0,31,True,2024-03-07 18:04:28.000,4.3.0,71.0,lets-plot,,,,,71.0,66.0,https://pypi.org/project/lets-plot,2024-03-07 17:37:54.000,5.0,26799.0,26810.0,,,,,2.0,623.0,,,,,,,,,,,,,,,,,,,,,, +263,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-02-01 19:43:14.000000,2024-01-05 16:06:48,1120.0,14.0,277.0,45.0,512.0,27.0,182.0,1240.0,ARCH models in Python.,35.0,31,False,2024-01-05 08:24:51.000,6.3.0,46.0,arch,conda-forge/arch-py,,,,1526.0,1456.0,https://pypi.org/project/arch,2024-01-05 08:24:51.000,70.0,308040.0,314313.0,https://anaconda.org/conda-forge/arch-py,2024-01-05 09:54:56.136,282317.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +264,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-03-14 07:58:36.000000,2024-03-14 07:58:35,10543.0,206.0,226.0,37.0,1458.0,206.0,346.0,1133.0,Computations and statistics on manifolds with geometric structures.,90.0,31,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,100.0,97.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,3847.0,3952.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,2210.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +265,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-03-12 18:40:48.000000,2024-03-12 18:40:47,933.0,12.0,214.0,59.0,99.0,44.0,174.0,982.0,Input pipeline framework.,28.0,31,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1743.0,1687.0,https://pypi.org/project/tensorflow-transform,2023-08-11 23:14:04.000,56.0,730550.0,730550.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +266,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-03-04 20:56:40.000000,2024-02-25 21:43:59,658.0,31.0,98.0,23.0,510.0,323.0,405.0,913.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",46.0,31,True,2024-01-30 08:44:06.000,0.9.2,19.0,hvplot,conda-forge/hvplot,,,,4583.0,4583.0,https://pypi.org/project/hvplot,,,172275.0,184154.0,https://anaconda.org/conda-forge/hvplot,2024-01-30 08:55:28.301,534585.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +267,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-01-01 17:28:43.000000,2023-11-06 00:17:47,493.0,,122.0,33.0,127.0,27.0,74.0,868.0,Python bindings and utilities for GeoJSON.,56.0,31,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,17976.0,16697.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,1279.0,1727421.0,1787810.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,785063.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +268,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-03-04 21:27:42.000000,2024-03-04 21:27:41,1930.0,17.0,225.0,18.0,292.0,48.0,266.0,803.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",46.0,31,True,2024-02-18 21:10:04.000,1.4.8,47.0,salib,conda-forge/salib,,,,1141.0,1051.0,https://pypi.org/project/salib,2024-02-18 21:10:04.000,90.0,156487.0,160053.0,https://anaconda.org/conda-forge/salib,2024-02-18 23:23:58.271,146208.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +269,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-02-27 10:18:01.000000,2024-02-27 03:35:48,1055.0,7.0,170.0,36.0,115.0,31.0,60.0,712.0,Snowball compiler and stemming algorithms.,34.0,31,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6839.0,5.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6834.0,14733834.0,14818612.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7714811.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +270,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,,2017-09-01 00:36:51.000,2023-12-24 05:29:03.000000,2023-12-24 05:29:03,2283.0,2.0,5023.0,498.0,152.0,1029.0,1353.0,20761.0,State-of-the-art 2D and 3D Face Analysis Project.,58.0,30,False,2023-04-02 07:43:27.000,0.7,1.0,insightface,,,,['mxnet'],1791.0,1791.0,https://pypi.org/project/insightface,,,469830.0,682448.0,,,,,2.0,2338807.0,,,,,,,,,,,,,,,,,,,,,, +271,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4382.0,1254.0,557.0,836.0,2543.0,17439.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,21.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,756.0,902.0,,,,,3.0,14380.0,,,,,,,,,,,,,,,,,,,,,, +272,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2060.0,286.0,3401.0,54.0,1494.0,10412.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,30,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],26.0,21.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,2116.0,2116.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +273,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-03-06 00:27:38.000000,2024-03-06 00:27:38,2893.0,25.0,2162.0,194.0,419.0,202.0,473.0,8877.0,FinRL: Financial Reinforcement Learning.,109.0,30,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,36.0,36.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1523.0,1523.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +274,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-03-12 04:38:33.000000,2024-03-12 04:38:33,1169.0,11.0,1318.0,101.0,629.0,691.0,519.0,7918.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,125.0,30,True,,,3.0,,conda-forge/nvidia-apex,,,['pytorch'],2310.0,2310.0,,,,,4516.0,https://anaconda.org/conda-forge/nvidia-apex,2024-01-12 02:06:46.952,185174.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +275,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-12-25 14:05:19.000000,2023-04-18 11:08:13,2759.0,,1267.0,215.0,711.0,186.0,828.0,7357.0,Automated Machine Learning with scikit-learn.,88.0,30,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],590.0,551.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,39.0,17052.0,17652.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,21031.0,,2.0,51.0,,,,,,,,,,,,,,,,,,,,,, +276,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-03-06 13:41:05.000000,2024-02-09 09:43:21,989.0,16.0,890.0,138.0,673.0,128.0,308.0,6626.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,84.0,30,True,2023-12-25 07:11:09.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,,348.0,341.0,https://pypi.org/project/dowhy,2023-12-25 07:11:09.000,7.0,53116.0,53593.0,https://anaconda.org/conda-forge/dowhy,2024-01-26 10:57:10.385,19103.0,,2.0,33.0,,,,,,,,,,,,,,,,,,,,,, +277,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-02-23 14:27:11.000000,2023-01-31 19:40:04,3203.0,,1394.0,192.0,784.0,40.0,423.0,6040.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,30,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],620.0,608.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,1483.0,1649.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7509.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +278,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-02-13 20:24:20.000000,2024-01-23 12:41:45,154.0,2.0,1058.0,197.0,99.0,146.0,300.0,5829.0,Official Kaggle API.,37.0,30,True,2024-02-13 20:24:20.000,1.6.6,66.0,kaggle,conda-forge/kaggle,,,,407.0,21.0,https://pypi.org/project/kaggle,2024-02-13 20:24:20.000,386.0,211899.0,215338.0,https://anaconda.org/conda-forge/kaggle,2024-02-07 12:47:17.698,144469.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +279,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-02-19 12:55:24.000000,2024-02-19 12:55:23,1086.0,5.0,370.0,81.0,527.0,54.0,453.0,5586.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,30,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1194.0,1140.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,54.0,101498.0,120040.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,778794.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +280,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-03-14 09:14:31.000000,2024-03-01 21:17:57,3853.0,8.0,550.0,86.0,550.0,102.0,470.0,4677.0,Online machine learning in Python.,110.0,30,True,2023-12-05 09:29:54.000,0.21.0,20.0,river,conda-forge/river,,,,468.0,436.0,https://pypi.org/project/river,2023-12-05 00:13:21.000,32.0,36551.0,38080.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,53546.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +281,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-03-13 21:43:45.000000,2022-09-24 16:20:26,585.0,,892.0,98.0,219.0,103.0,451.0,4599.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3768.0,3709.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,59.0,99860.0,100551.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,20043.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +282,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-03-04 21:50:49.000000,2024-03-04 21:07:39,1448.0,13.0,762.0,76.0,1778.0,300.0,629.0,4163.0,Probabilistic time series modeling in Python.,112.0,30,True,2024-02-02 12:38:04.000,0.14.4,108.0,gluonts,anaconda/gluonts,,,['mxnet'],16.0,,https://pypi.org/project/gluonts,2024-02-02 12:38:04.000,16.0,353476.0,353501.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,740.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +283,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-03-14 01:11:09.000000,2024-03-12 14:01:10,15383.0,50.0,494.0,71.0,3430.0,839.0,1545.0,3845.0,cuML - RAPIDS Machine Learning Library.,169.0,30,True,2024-02-13 16:00:26.000,24.02.00,37.0,cuml,,,,,7.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,7.0,2267.0,2267.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +284,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-01-12 14:48:30.000000,2024-01-12 14:48:30,249.0,3.0,267.0,47.0,50.0,26.0,94.0,3793.0,A simple command-line utility for querying and monitoring GPU status.,17.0,30,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,5049.0,4914.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,135.0,1012354.0,1019343.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,279584.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +285,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-03-02 01:06:27.711000,2023-02-26 20:07:33,189.0,,455.0,74.0,37.0,10.0,121.0,3784.0,Missing data visualization module for Python.,18.0,30,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,15386.0,15242.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,144.0,344597.0,666096.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,321499.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +286,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-03-11 16:24:21.000000,2023-10-04 07:40:23,3656.0,,449.0,100.0,1045.0,225.0,368.0,3540.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2024-02-27 15:38:38.000,0.12.43,64.0,bqplot,conda-forge/bqplot,,,['jupyter'],55.0,55.0,https://pypi.org/project/bqplot,,,120562.0,151282.0,https://anaconda.org/conda-forge/bqplot,2024-02-19 16:46:43.025,1263329.0,,3.0,,,,,bqplot,https://www.npmjs.com/package/bqplot,,,3257.0,,,,,,,,,,,,,, +287,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-03-11 20:14:24.000000,2024-03-11 20:14:17,1773.0,49.0,558.0,39.0,813.0,464.0,282.0,3522.0,Time series forecasting with PyTorch.,45.0,30,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,10.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,10.0,70904.0,72194.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,54197.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +288,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-11-13 09:43:52.000000,2022-05-31 03:18:45,1556.0,,437.0,94.0,122.0,78.0,348.0,3253.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,30,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1120.0,1060.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,60.0,214993.0,217556.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,105106.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +289,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-03-13 18:19:25.000000,2024-03-11 09:02:23,571.0,64.0,549.0,36.0,776.0,99.0,628.0,2994.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",72.0,30,True,2024-02-29 22:14:43.000,1.0.0,29.0,anomalib,,,,,58.0,55.0,https://pypi.org/project/anomalib,2024-02-29 22:14:43.000,3.0,17104.0,17381.0,,,,,2.0,7491.0,,,,,,,,,,,,,,,,,,,,,, +290,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-12-13 21:21:22.000000,2023-10-24 18:29:08,333.0,,323.0,67.0,75.0,10.0,121.0,2987.0,A Python Perceptual Image Hashing Module.,26.0,30,True,2021-03-25 13:49:48.000,4.1.0,7.0,ImageHash,conda-forge/imagehash,,,,12269.0,12269.0,https://pypi.org/project/ImageHash,,,1526374.0,1530420.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,356084.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +291,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-03-14 14:19:59.000000,2024-03-13 15:33:29,7427.0,341.0,338.0,82.0,8620.0,148.0,327.0,2773.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",112.0,30,True,2024-03-05 19:16:58.000,0.29.0,501.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-03-13 00:37:07.000,4.0,32772.0,32947.0,,,,,3.0,7890.0,,,,,,,,,,,,,,,,,,,,,, +292,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-03-08 14:11:45.000000,2024-02-14 22:04:33,2296.0,14.0,717.0,80.0,205.0,187.0,466.0,2706.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",151.0,30,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],9.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,9.0,88800.0,88800.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +293,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-03-11 02:20:29.000000,2024-03-11 01:36:27,2702.0,34.0,366.0,37.0,516.0,50.0,215.0,2697.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",65.0,30,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,240.0,234.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,6.0,6992.0,7160.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,7095.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +294,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-03-12 03:07:27.000000,2024-03-12 03:07:23,3526.0,25.0,341.0,154.0,1172.0,32.0,60.0,2681.0,Neural Network Libraries.,75.0,30,True,2023-12-07 00:57:13.000,1.38.0,78.0,nnabla,,,,,55.0,,https://pypi.org/project/nnabla,2023-12-06 09:31:24.000,55.0,9270.0,9281.0,,,,,3.0,908.0,,,,,,,,,,,,,,,,,,,,,, +295,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-03-04 20:59:17.000000,2024-03-04 15:46:26,1711.0,13.0,421.0,44.0,363.0,22.0,349.0,2632.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",34.0,30,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,578.0,564.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,2708.0,2996.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,12694.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +296,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-03-11 09:14:36.000000,2024-03-11 09:14:30,2900.0,41.0,1055.0,122.0,513.0,61.0,299.0,2538.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,30,False,2024-03-04 11:18:50.000,8.7.0,46.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],309.0,,https://pypi.org/project/ipyparallel,2024-03-04 11:18:50.000,309.0,296779.0,320293.0,https://anaconda.org/conda-forge/ipyparallel,2024-03-04 15:06:17.077,964101.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +297,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-03-14 14:09:15.000000,2024-03-14 14:05:32,1118.0,38.0,259.0,32.0,446.0,100.0,324.0,2266.0,Scalable and user friendly neural forecasting algorithms.,42.0,30,True,2023-10-05 19:40:30.000,1.6.4,20.0,neuralforecast,conda-forge/neuralforecast,,,,116.0,111.0,https://pypi.org/project/neuralforecast,2023-10-05 19:40:30.000,5.0,33736.0,34279.0,https://anaconda.org/conda-forge/neuralforecast,2023-10-06 19:47:12.240,13051.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +298,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-03-13 23:47:42.000000,2024-03-13 23:47:36,5568.0,129.0,699.0,89.0,5805.0,201.0,852.0,2064.0,TFX is an end-to-end platform for deploying production ML pipelines.,182.0,30,True,2023-09-06 22:01:30.000,1.14.0,95.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,2023-09-06 22:01:30.000,14.0,57122.0,57122.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +299,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-03-13 15:49:21.000000,2024-03-11 08:55:22,1482.0,72.0,201.0,50.0,247.0,165.0,157.0,2022.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",41.0,30,True,2024-03-11 08:52:03.000,0.33.5,173.0,graphistry,,,,['jupyter'],118.0,112.0,https://pypi.org/project/graphistry,2024-03-11 08:52:03.000,6.0,3758.0,3758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +300,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-03-11 11:04:15.000000,2024-02-07 13:16:15,2447.0,5.0,437.0,77.0,1262.0,148.0,682.0,1788.0,Gaussian processes in TensorFlow.,84.0,30,True,2024-02-07 15:19:13.000,2.9.1,49.0,gpflow,conda-forge/gpflow,,,['tensorflow'],663.0,626.0,https://pypi.org/project/gpflow,2024-02-07 15:19:13.000,37.0,46912.0,47270.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,25070.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +301,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-02-16 20:09:56.000000,2024-02-16 20:09:51,1590.0,4.0,281.0,54.0,137.0,79.0,182.0,1719.0,"CUDA integration for Python, plus shiny features.",81.0,30,True,2024-01-03 16:54:41.000,2024.1,53.0,pycuda,conda-forge/pycuda,,,,2942.0,2717.0,https://pypi.org/project/pycuda,2024-01-03 16:54:26.000,225.0,37089.0,44966.0,https://anaconda.org/conda-forge/pycuda,2024-01-06 20:33:04.514,283597.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +302,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-03-13 23:15:29.000000,2024-03-01 06:55:15,860.0,23.0,115.0,21.0,357.0,106.0,222.0,1710.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,46.0,30,True,2024-01-10 21:26:20.000,0.11.3,47.0,equinox,,,,['jax'],521.0,454.0,https://pypi.org/project/equinox,2024-01-10 21:26:20.000,67.0,77190.0,77190.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +303,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-03-14 15:05:08.000000,2024-03-14 08:48:26,1603.0,169.0,341.0,27.0,1660.0,193.0,101.0,1681.0,Pytorch domain library for recommendation systems.,218.0,30,True,2024-01-30 23:40:14.000,0.6.0,77.0,torchrec-nightly-cpu,,,,,92.0,92.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,1603.0,1603.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +304,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-02-13 11:22:02.000000,2024-02-13 11:18:32,1805.0,22.0,373.0,52.0,125.0,41.0,421.0,1649.0,Reinforcement Learning environments based on the 1993 game Doom.,54.0,30,True,2023-12-16 01:55:15.000,1.2.3,29.0,vizdoom,,,,,245.0,227.0,https://pypi.org/project/vizdoom,2023-12-16 01:55:15.000,18.0,1249.0,1371.0,,,,,1.0,11787.0,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,,,,, +305,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-03-13 14:42:19.000000,2024-03-13 14:42:16,1169.0,54.0,174.0,20.0,154.0,49.0,133.0,1642.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-11-24 08:35:59.000,0.34.1,37.0,audiomentations,,,,,446.0,438.0,https://pypi.org/project/audiomentations,2023-11-24 08:35:59.000,8.0,30324.0,30324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +306,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-03-08 15:22:07.000000,2024-02-29 14:57:01,3864.0,139.0,272.0,27.0,569.0,85.0,711.0,1631.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,77.0,30,True,2024-02-27 17:02:40.000,0.5.0,8.0,avalanche-lib,,,,,75.0,72.0,https://pypi.org/project/avalanche-lib,2024-02-27 16:52:08.000,3.0,1555.0,1555.0,,,,,2.0,14.0,,,,,,,,,,,,,,,,,,,,,, +307,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-03-08 05:58:36.000000,2024-03-08 05:47:56,1058.0,7.0,215.0,54.0,203.0,29.0,278.0,1588.0,A full spaCy pipeline and models for scientific/biomedical documents.,32.0,30,True,2024-03-08 05:58:36.000,0.5.4,15.0,scispacy,,,,,883.0,852.0,https://pypi.org/project/scispacy,2024-03-08 05:58:36.000,31.0,25918.0,25918.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +308,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-03-02 12:05:58.000000,2024-03-02 12:05:58,1247.0,7.0,135.0,31.0,106.0,33.0,253.0,1500.0,Statistical package in Python based on Pandas.,44.0,30,False,2024-01-13 15:48:45.000,0.5.4,40.0,pingouin,conda-forge/pingouin,,,,1908.0,1834.0,https://pypi.org/project/pingouin,2024-01-13 15:46:36.000,74.0,66348.0,68871.0,https://anaconda.org/conda-forge/pingouin,2024-01-15 09:58:06.763,113553.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +309,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-03-01 13:31:30.000000,2024-03-01 13:31:22,940.0,9.0,427.0,87.0,220.0,49.0,235.0,1408.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,73.0,30,True,2023-02-02 20:53:47.943,3.1.0,24.0,emcee,conda-forge/emcee,,,,2677.0,2305.0,https://pypi.org/project/emcee,2023-02-02 20:53:47.943,372.0,149620.0,153054.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,322879.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +310,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-03-13 03:10:19.000000,2024-03-13 03:07:49,1536.0,19.0,162.0,16.0,786.0,105.0,444.0,1262.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,107.0,30,True,2023-09-18 03:57:15.000,0.26.0,52.0,pyjanitor,conda-forge/pyjanitor,,,,559.0,559.0,https://pypi.org/project/pyjanitor,,,68091.0,72200.0,https://anaconda.org/conda-forge/pyjanitor,2024-02-21 02:58:22.491,189015.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +311,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2024-03-13 17:09:00.000000,2024-03-05 21:53:14,1943.0,58.0,301.0,23.0,2248.0,81.0,226.0,1157.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,42.0,30,True,2024-02-09 18:33:49.000,0.34.1,54.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",93.0,90.0,https://pypi.org/project/raiwidgets,2024-02-09 18:24:31.000,3.0,4656.0,4656.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +312,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-02-16 20:11:24.000000,2024-02-16 20:11:22,3280.0,7.0,240.0,48.0,351.0,70.0,263.0,1021.0,"OpenCL integration for Python, plus shiny features.",95.0,30,True,2024-01-23 22:08:06.000,2024.1,95.0,pyopencl,conda-forge/pyopencl,,,,2041.0,1826.0,https://pypi.org/project/pyopencl,2024-01-23 22:46:25.000,215.0,129452.0,151402.0,https://anaconda.org/conda-forge/pyopencl,2024-01-24 00:59:29.948,987766.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +313,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2024-03-14 12:38:32.000000,2024-03-10 16:37:18,3059.0,55.0,110.0,17.0,262.0,11.0,140.0,739.0,Python bindings for MPI.,26.0,30,True,2023-10-04 09:04:51.000,3.1.5,27.0,mpi4py,conda-forge/mpi4py,,,,758.0,,https://pypi.org/project/mpi4py,2023-10-04 09:04:51.000,758.0,398715.0,456318.0,https://anaconda.org/conda-forge/mpi4py,2024-02-28 23:37:18.658,2342030.0,,2.0,21180.0,,,,,,,,,,,,,,,,,,,,,, +314,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-03-13 19:37:31.000000,2024-02-06 03:22:42,1674.0,27.0,282.0,42.0,1332.0,271.0,362.0,686.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,30,True,2024-02-06 04:35:56.000,0.36.0,43.0,tensorflow-io,,,,['tensorflow'],36.0,,https://pypi.org/project/tensorflow-io,2024-02-06 04:34:40.000,36.0,3268614.0,3268614.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +315,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2024-03-14 12:09:35.000000,2024-03-13 14:55:48,1949.0,107.0,57.0,19.0,1461.0,31.0,208.0,504.0,The MLOps stack component for experiment tracking.,54.0,30,True,2024-02-15 11:40:48.000,1.9.1,202.0,neptune-client,conda-forge/neptune-client,,,,50.0,,https://pypi.org/project/neptune-client,2024-03-12 12:26:44.000,50.0,547973.0,552974.0,https://anaconda.org/conda-forge/neptune-client,2024-02-15 14:02:29.071,230073.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +316,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-03-12 19:48:55.000000,2024-02-13 15:18:25,17084.0,23.0,113.0,27.0,3566.0,506.0,3380.0,481.0,"Keep code, data, containers under control with git and git-annex.",55.0,30,True,2024-02-02 23:10:48.000,0.19.6,111.0,datalad,conda-forge/datalad,,,,66.0,,https://pypi.org/project/datalad,2024-02-02 23:10:48.000,66.0,22531.0,31954.0,https://anaconda.org/conda-forge/datalad,2024-02-03 04:09:03.909,424071.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +317,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-03-04 08:10:52.000000,2023-12-15 12:50:52,282.0,,107.0,24.0,53.0,35.0,56.0,473.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,19229.0,18860.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,369.0,2039443.0,2057587.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,743938.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +318,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-02-24 20:52:11.000000,2023-04-19 14:13:08,2404.0,,3665.0,606.0,222.0,48.0,,12728.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,2027.0,1954.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,73.0,18626.0,18626.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +319,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840.0,217.0,46.0,96.0,94.0,8922.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,117603.0,118293.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,31088.0,,1.0,,,,,,,,,,,,,,,,,,,,,,, +320,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-02-20 22:38:08.000000,2024-02-20 22:38:05,385.0,2.0,2124.0,286.0,96.0,289.0,447.0,8323.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,29,True,2022-12-20 21:17:57.000,test-resources-v3,12.0,imageai,conda-forge/imageai,,,,1560.0,1560.0,https://pypi.org/project/imageai,,,7268.0,20270.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6862.0,,2.0,912153.0,,,,,,,,,,,,,,,,,,,,,, +321,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-02-03 18:46:00.371000,2023-01-19 00:37:33,900.0,,1236.0,154.0,950.0,63.0,785.0,5739.0,Gluon CV Toolkit.,119.0,29,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],82.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,61.0,121129.0,121129.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +322,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,,634.0,147.0,789.0,141.0,356.0,4708.0,Deep Learning Visualization Toolkit.,33.0,29,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2743.0,2697.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,46.0,260171.0,260178.0,,,,,2.0,346.0,,,,,,,,,,,,,,,,,,,,,, +323,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-03-08 18:59:49.000000,2024-03-08 18:59:48,594.0,9.0,731.0,85.0,325.0,55.0,318.0,4681.0,Uplift modeling and causal inference with machine learning algorithms.,60.0,29,True,2024-02-22 19:20:29.000,0.15.0,23.0,causalml,,,,,183.0,182.0,https://pypi.org/project/causalml,2024-02-22 19:17:30.000,1.0,88293.0,88293.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +324,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-12-24 09:12:15.000000,2023-04-30 18:36:20,483.0,,664.0,88.0,206.0,141.0,356.0,4568.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,29,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1429.0,1379.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,50.0,643190.0,645504.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,171257.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +325,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,444.0,42.0,124.0,65.0,154.0,4269.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1121.0,1088.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,33.0,156958.0,157473.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,17016.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +326,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-02-24 20:17:14.000000,2024-02-24 20:17:13,454.0,9.0,519.0,112.0,92.0,20.0,101.0,3393.0,Module for automatic summarization of text documents and HTML pages.,31.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2668.0,2557.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,111.0,135505.0,135731.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7479.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +327,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-11-21 21:16:03.000000,2023-11-21 21:15:59,435.0,,602.0,78.0,227.0,78.0,405.0,3386.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,29,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1316.0,1276.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,40.0,154532.0,168153.0,https://anaconda.org/conda-forge/implicit,2023-11-21 19:59:55.425,570986.0,,2.0,706.0,,,,,,,,,,,,,,,,,,,,,, +328,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-03-13 23:45:31.000000,2024-02-04 19:23:19,3829.0,2.0,533.0,61.0,888.0,343.0,968.0,3367.0,A highly efficient implementation of Gaussian Processes in PyTorch.,128.0,29,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2026.0,1933.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,93.0,241063.0,244241.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,146200.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +329,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-12-29 09:26:48.000000,2023-12-29 09:26:14,403.0,3.0,247.0,65.0,52.0,9.0,,3277.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",14.0,29,True,2023-12-29 09:27:05.000,4.6.1,27.0,textdistance,conda-forge/textdistance,,,,5958.0,5889.0,https://pypi.org/project/textdistance,2023-12-29 09:26:30.000,69.0,684894.0,692356.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,521470.0,,2.0,999.0,,,,,,,,,,,,,,,,,,,,,, +330,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-01-05 06:03:44.000000,2024-01-02 20:16:48,4161.0,35.0,363.0,81.0,63.0,154.0,189.0,3128.0,a library for audio and music analysis.,25.0,29,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,473.0,445.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,28.0,4552.0,12148.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,638101.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +331,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-03-08 11:46:01.564000,2024-03-08 09:44:27,1163.0,26.0,378.0,49.0,73.0,142.0,478.0,2902.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",26.0,29,True,2024-03-08 09:45:28.000,1.1.6,89.0,mljar-supervised,conda-forge/mljar-supervised,,,,108.0,106.0,https://pypi.org/project/mljar-supervised,2024-03-08 09:44:48.000,2.0,3983.0,4373.0,https://anaconda.org/conda-forge/mljar-supervised,2024-03-08 11:46:01.564,12878.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +332,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-03-02 14:02:56.000000,2024-02-14 18:45:43,3498.0,60.0,515.0,109.0,345.0,396.0,673.0,2639.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",80.0,29,False,2015-03-31 16:33:30.000,2.0,20.0,essentia,,,,,613.0,593.0,https://pypi.org/project/essentia,2023-10-27 09:13:56.000,20.0,20411.0,20411.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +333,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-03-12 11:08:12.000000,2024-03-12 10:49:32,1549.0,32.0,319.0,38.0,325.0,39.0,153.0,2620.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,37.0,29,True,2024-03-12 11:08:12.000,2.4.3,39.0,shapash,,,,['jupyter'],147.0,145.0,https://pypi.org/project/shapash,2024-03-12 11:08:12.000,2.0,7216.0,7216.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +334,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,98.0,1045.0,260.0,297.0,2550.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1495.0,1473.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,72753.0,72753.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +335,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-03-07 14:21:38.000000,2023-12-03 09:09:14,2415.0,,253.0,27.0,1130.0,75.0,224.0,2539.0,Database system for AI-powered apps.,73.0,29,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],142.0,142.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,11867.0,32393.0,,,,,3.0,410530.0,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,,,,, +336,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,3.0,336.0,44.0,57.0,67.0,207.0,2331.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,29,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],280.0,273.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,6843.0,6843.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +337,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-03-11 14:50:12.000000,2024-03-11 14:50:11,432.0,13.0,782.0,92.0,278.0,139.0,102.0,2273.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",71.0,29,True,2024-02-23 15:42:15.000,0.6.0,11.0,aif360,conda-forge/aif360,,,,377.0,377.0,https://pypi.org/project/aif360,,,20448.0,20639.0,https://anaconda.org/conda-forge/aif360,2023-10-14 06:57:34.052,8034.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +338,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-02-29 15:39:19.000000,2024-02-28 15:45:58,1631.0,113.0,250.0,67.0,62.0,33.0,186.0,2067.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,29,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],49.0,49.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,,862.0,862.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +339,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-02-19 01:50:38.000000,2024-02-05 15:04:26,519.0,2.0,433.0,88.0,103.0,82.0,258.0,1978.0,bt - flexible backtesting for Python.,31.0,29,True,2023-11-20 03:03:12.000,1.0.0,26.0,bt,conda-forge/bt,,,,1625.0,1597.0,https://pypi.org/project/bt,2023-11-20 03:03:12.000,28.0,9018.0,9615.0,https://anaconda.org/conda-forge/bt,2023-11-20 16:37:06.276,20918.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +340,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-02-13 19:24:57.000000,2024-02-01 18:50:30,675.0,4.0,400.0,42.0,62.0,19.0,270.0,1849.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,29,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1476.0,1454.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,53205.0,53925.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,30276.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +341,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-02-07 20:20:08.000000,2024-02-07 20:20:03,285.0,2.0,355.0,52.0,77.0,78.0,111.0,1774.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,41.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5991.0,5828.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,163.0,162170.0,163307.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,78487.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +342,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-03-13 14:43:11.000000,2024-03-13 14:43:10,847.0,12.0,377.0,37.0,871.0,164.0,293.0,1767.0,A Python package to assess and improve fairness of machine learning models.,81.0,29,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],32.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,29.0,251381.0,252156.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,31017.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +343,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-02-19 03:06:25.000000,2023-12-31 15:46:16,440.0,8.0,282.0,62.0,102.0,22.0,99.0,1748.0,ffn - a financial function library for Python.,32.0,29,True,2023-12-31 16:05:45.000,1.0.1,33.0,ffn,conda-forge/ffn,,,,458.0,427.0,https://pypi.org/project/ffn,2023-12-31 15:47:45.000,31.0,148632.0,148827.0,https://anaconda.org/conda-forge/ffn,2023-12-31 19:11:58.314,6833.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +344,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-02-16 16:14:43.000000,2024-02-16 16:14:36,365.0,1.0,254.0,48.0,312.0,232.0,184.0,1733.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],293.0,292.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,542487.0,542487.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +345,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-01-05 03:23:07.000000,2022-08-31 01:52:51,509.0,,308.0,103.0,49.0,8.0,151.0,1570.0,Distributed Deep learning with Keras & Spark.,27.0,29,False,2024-01-05 03:23:07.000,5.2.1,42.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",77.0,74.0,https://pypi.org/project/elephas,2024-01-05 03:23:07.000,3.0,105330.0,105574.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13451.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +346,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-03-12 03:39:50.000000,2024-03-12 03:39:50,1841.0,4.0,269.0,45.0,270.0,59.0,193.0,1486.0,TensorLy: Tensor Learning in Python.,66.0,29,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,650.0,595.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,55.0,18139.0,23333.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,363586.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +347,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-03-12 18:32:27.000000,2024-02-20 16:20:11,3027.0,9.0,266.0,34.0,37.0,2.0,486.0,1207.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,29,True,2024-03-12 18:32:27.000,0.41.2,209.0,ktrain,,,,['tensorflow'],509.0,506.0,https://pypi.org/project/ktrain,2024-03-12 18:32:27.000,3.0,10869.0,10869.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +348,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-01-17 21:03:09.000000,2024-01-17 21:03:09,532.0,6.0,420.0,51.0,39.0,16.0,139.0,1206.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,29,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2508.0,2474.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,34.0,359424.0,360282.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,40360.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +349,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2024-03-11 20:56:20.000000,2024-03-01 21:07:56,1064.0,44.0,206.0,24.0,131.0,23.0,187.0,1042.0,Survival analysis built on top of scikit-learn.,18.0,29,False,2023-12-30 23:36:40.000,0.22.2,28.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],453.0,439.0,https://pypi.org/project/scikit-survival,2023-12-30 23:36:40.000,14.0,71834.0,74590.0,https://anaconda.org/conda-forge/scikit-survival,2023-12-31 00:55:10.043,77174.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +350,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454.0,43.0,176.0,93.0,102.0,1028.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1577.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,1577.0,5396842.0,5428453.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2181186.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +351,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2024-03-12 16:23:39.000000,2024-03-07 08:58:03,812.0,1.0,246.0,41.0,504.0,273.0,253.0,878.0,Scalable Machine Learning with Dask.,78.0,29,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,1051.0,976.0,https://pypi.org/project/dask-ml,2023-03-24 22:06:04.422,75.0,441128.0,451589.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,805507.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +352,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-01-10 16:03:56.000000,2024-01-10 16:03:56,666.0,3.0,101.0,14.0,94.0,71.0,62.0,831.0,A Python nearest neighbor descent for approximate nearest neighbors.,27.0,29,True,2023-11-20 18:50:25.000,0.5.11,30.0,pynndescent,conda-forge/pynndescent,,,,5781.0,5709.0,https://pypi.org/project/pynndescent,2023-11-20 18:50:25.000,72.0,942283.0,982390.0,https://anaconda.org/conda-forge/pynndescent,2023-11-20 21:14:19.693,1764714.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +353,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2024-03-13 18:52:55.000000,2024-03-13 18:52:54,954.0,15.0,162.0,49.0,83.0,35.0,144.0,748.0,Library for exploring and validating machine learning data.,26.0,29,True,2023-08-14 06:58:23.000,1.14.0,44.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",867.0,837.0,https://pypi.org/project/tensorflow-data-validation,2023-08-14 06:58:23.000,30.0,201550.0,201559.0,,,,,3.0,643.0,,,,,,,,,,,,,,,,,,,,,, +354,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-03-01 10:47:53.000000,2024-02-29 07:14:56,809.0,18.0,73.0,25.0,375.0,107.0,231.0,554.0,"Simple, concise geographical visualization in Python.",30.0,29,True,2024-02-13 18:23:41.000,1.11.1,57.0,geoviews,conda-forge/geoviews,,,,952.0,912.0,https://pypi.org/project/geoviews,2024-02-13 17:04:04.000,40.0,9206.0,14253.0,https://anaconda.org/conda-forge/geoviews,2024-02-13 18:20:12.882,212003.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +355,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-02-07 14:29:13.000000,2024-02-07 14:27:33,227.0,4.0,57.0,13.0,202.0,13.0,186.0,308.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,29,True,2024-02-07 14:29:13.000,3.9.0,71.0,pystan,conda-forge/pystan,,,,9946.0,9683.0,https://pypi.org/project/pystan,2024-02-07 14:29:13.000,263.0,1898941.0,1932252.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2798140.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +356,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-03-14 15:17:21.000000,2024-03-07 16:28:36,2459.0,310.0,1008.0,112.0,2632.0,223.0,803.0,16678.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",95.0,28,True,2024-03-07 17:46:25.000,1.8.1,64.0,,,,,,,,,,,,471.0,,,,,2.0,16502.0,,,,,,,,,,,,,,,,,,,,,, +357,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-11-21 01:05:50.000000,2020-01-31 13:06:18,347.0,,4864.0,651.0,372.0,497.0,436.0,15235.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,28,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,590.0,551.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,1029.0,1029.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +358,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-03-12 15:39:24.000000,2024-03-07 06:41:21,1958.0,1.0,2368.0,279.0,907.0,195.0,673.0,13895.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",122.0,28,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2023-07-18 11:35:09.110,1.0,4499.0,4508.0,,,,,2.0,394.0,,,,,,,,,,,,,,,,,,,,,, +359,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-03-14 06:29:42.000000,2023-12-28 07:35:14,2224.0,1.0,2765.0,195.0,3622.0,1280.0,3958.0,11898.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",159.0,28,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],,,https://pypi.org/project/paddledet,,,794.0,794.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +360,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-02-22 06:27:52.000000,2022-11-08 22:11:16,98.0,,1773.0,203.0,72.0,106.0,36.0,9914.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,28,False,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,12.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,10.0,337678.0,337678.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +361,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:56:22.000000,2023-05-24 15:56:22,277.0,,876.0,267.0,98.0,78.0,81.0,7299.0,Visualizations for machine learning datasets.,31.0,28,True,2019-07-01 16:35:20.000,1.0.0,4.0,facets-overview,,,,['jupyter'],223.0,223.0,https://pypi.org/project/facets-overview,,,283352.0,283352.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +362,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-10-24 07:07:43.000000,2023-08-16 23:55:56,220.0,,1325.0,175.0,46.0,79.0,237.0,6745.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],33.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,12.0,63824.0,63824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +363,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,,1586.0,626.0,2111.0,453.0,1338.0,6334.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,59.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,38.0,2714.0,2714.0,,,,,3.0,3.0,,,numenta/nupic-legacy,,,,,,,,,,,,,,,,,,, +364,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2023-10-22 09:33:23.000000,2023-10-22 09:33:23,779.0,,1156.0,212.0,91.0,194.0,120.0,5612.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,465.0,445.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,20.0,12619.0,12619.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +365,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1368.0,206.0,158.0,44.0,227.0,5479.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],802.0,748.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,54.0,1578.0,1578.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +366,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-02-20 12:08:38.000000,2024-02-20 12:08:36,610.0,15.0,679.0,109.0,186.0,10.0,341.0,5429.0,Python-tesseract is an optical character recognition (OCR) tool for python.,46.0,28,True,2023-10-15 15:39:44.000,0.3.13,26.0,pytesseract,conda-forge/pytesseract,,,,,,https://pypi.org/project/pytesseract,,,1919659.0,1933247.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,597901.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +367,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-03-08 08:32:34.000000,2024-03-08 08:24:03,13775.0,389.0,1559.0,143.0,3583.0,828.0,1072.0,5429.0,An Industrial Grade Federated Learning Framework.,100.0,28,True,2024-03-08 08:32:35.000,2.1.0,49.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,24.0,24.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +368,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-10-19 19:24:54.000000,2023-10-19 19:24:51,248.0,,850.0,127.0,38.0,66.0,144.0,5109.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,28,True,,,4.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],3018.0,3018.0,https://pypi.org/project/torchdiffeq,,,831601.0,831916.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,14517.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +369,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-03-14 04:03:27.000000,2024-03-11 18:26:55,1566.0,13.0,786.0,144.0,1474.0,303.0,398.0,4943.0,Simple and Distributed Machine Learning.,116.0,28,True,2023-11-27 21:27:39.000,1.0.2,42.0,synapseml,,,,,,,https://pypi.org/project/synapseml,,,167958.0,167958.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +370,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-03-07 14:59:40.000000,2022-08-06 21:47:18,182.0,,421.0,71.0,61.0,101.0,56.0,4342.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,1342.0,1335.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,7.0,213124.0,213124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +371,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-12-29 12:20:18.000000,2023-11-11 01:23:34,523.0,,714.0,175.0,80.0,8.0,279.0,4143.0,A python wrapper for Alpha Vantage API for financial data.,42.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,531.0,499.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,32.0,32943.0,33111.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,6406.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +372,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-03-12 23:51:20.000000,2023-11-02 03:20:28,249.0,,824.0,51.0,51.0,63.0,106.0,4056.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,16.0,28,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1615.0,1596.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,19.0,55877.0,71998.0,,,,,2.0,838322.0,,,,,,,,,,,,,,,,,,,,,, +373,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,407.0,37.0,56.0,118.0,43.0,3928.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],13155.0,13035.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,120.0,201857.0,201857.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +374,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,971.0,219.0,408.0,140.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1295.0,1035.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,260.0,1848.0,1848.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +375,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-03-08 08:34:00.000000,2024-01-10 09:28:24,484.0,1.0,513.0,36.0,506.0,12.0,,3459.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,37.0,28,True,2023-11-05 23:19:54.000,0.11.15,101.0,sahi,conda-forge/sahi,,,,956.0,943.0,https://pypi.org/project/sahi,2023-11-05 23:19:54.000,13.0,112220.0,114692.0,https://anaconda.org/conda-forge/sahi,2023-11-06 10:35:24.165,54012.0,,2.0,22591.0,,,,,,,,,,,,,,,,,,,,,, +376,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-02-22 20:56:35.000000,2024-02-22 20:56:32,1181.0,40.0,465.0,61.0,711.0,5.0,517.0,3371.0,On-device wake word detection powered by deep learning.,37.0,28,True,2024-01-30 21:38:49.000,3.0.2,34.0,pvporcupine,,,,,42.0,28.0,https://pypi.org/project/pvporcupine,2024-01-30 21:38:49.000,14.0,5860.0,5860.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +377,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-03-11 20:04:26.000000,2024-03-11 20:03:07,1196.0,3.0,403.0,83.0,54.0,57.0,202.0,3343.0,A library of reinforcement learning components and agents.,84.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],193.0,190.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1620.0,1823.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,8149.0,,2.0,,,,google-deepmind/acme,,,,,,,,,,,,,,,,,,, +378,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,,2021-10-11 14:48:38.000,2024-03-06 05:54:35.000000,2024-02-22 12:17:17,1487.0,11.0,232.0,16.0,1731.0,245.0,726.0,3282.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,28,False,2024-01-31 13:08:55.000,0.18.1,60.0,deepchecks,,,,,346.0,346.0,https://pypi.org/project/deepchecks,,,42898.0,42925.0,,,,,2.0,809.0,,,,,,,,,,,,,,,,,,,,,, +379,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-07-08 17:08:15.000000,2022-04-29 04:19:24,1698.0,,399.0,47.0,1084.0,6.0,353.0,3214.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1115.0,1077.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,38.0,12126.0,12126.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +380,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2023-11-22 23:34:56.000000,2023-06-20 03:14:12,435.0,,284.0,34.0,475.0,33.0,30.0,2931.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,28,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1164.0,1118.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,46.0,129854.0,130128.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,9610.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +381,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-01-06 17:57:28.000000,2024-01-06 17:57:28,619.0,2.0,328.0,47.0,120.0,62.0,135.0,2790.0,A python library for decision tree visualization and model interpretation.,26.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1103.0,1079.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,137403.0,139048.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,65826.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +382,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-09-13 13:50:05.000000,2018-08-19 12:37:47,130.0,,282.0,67.0,59.0,26.0,39.0,2381.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],4635.0,4557.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,78.0,440733.0,442852.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,169528.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +383,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-03-11 01:04:24.000000,2024-03-08 14:56:57,654.0,6.0,282.0,52.0,644.0,144.0,225.0,2275.0,Algorithms for explaining machine learning models.,21.0,28,False,2024-01-22 16:23:03.000,0.9.5,32.0,alibi,,,,,589.0,563.0,https://pypi.org/project/alibi,2024-01-22 16:14:27.000,26.0,25917.0,25917.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +384,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,304.0,65.0,14.0,28.0,46.0,2226.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,11033.0,10821.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,212.0,355363.0,355363.0,,,,,2.0,,4.0,,,,,,,,,,,,,,,,,,,,, +385,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-03-13 07:28:49.000000,2024-03-07 17:28:22,718.0,6.0,247.0,40.0,530.0,138.0,234.0,2045.0,"Algorithms for outlier, adversarial and drift detection.",22.0,28,False,2024-01-22 16:25:25.000,0.11.5,37.0,alibi-detect,,,,,426.0,420.0,https://pypi.org/project/alibi-detect,2024-01-22 16:14:47.000,6.0,28382.0,28382.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +386,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-02-16 22:07:03.646000,2024-02-14 15:12:14,193.0,8.0,194.0,32.0,19.0,2.0,84.0,1600.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",15.0,28,True,2024-02-14 15:14:08.000,0.1.806,83.0,autoviz,conda-forge/autoviz,,,,643.0,636.0,https://pypi.org/project/autoviz,2024-02-14 15:14:08.000,7.0,101425.0,102933.0,https://anaconda.org/conda-forge/autoviz,2024-02-16 22:07:03.646,46765.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +387,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-03-06 00:43:08.000000,2024-03-05 00:32:58,1508.0,57.0,79.0,18.0,279.0,30.0,60.0,1500.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",34.0,28,True,2024-03-05 00:43:05.074,2.9.2,107.0,usearch,,unum/usearch,,,70.0,56.0,https://pypi.org/project/usearch,2024-03-05 00:47:38.000,4.0,41663.0,50380.0,,,,https://hub.docker.com/r/unum/usearch,3.0,1074.0,,,,usearch,https://www.npmjs.com/package/usearch,2024-03-05 00:43:05.074,10.0,8605.0,2024-03-05 00:42:37.565844,1.0,71.0,,,,,,,,,,, +388,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,,176.0,34.0,72.0,19.0,52.0,1438.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,28,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],2610.0,2610.0,https://pypi.org/project/torchsde,,,1604235.0,1604745.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,19414.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +389,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-02-16 09:48:48.000000,2024-02-16 09:33:00,569.0,40.0,393.0,31.0,49.0,12.0,121.0,1365.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,28.0,28,False,2024-02-16 09:48:48.000,2.3.2,4.0,minisom,,,,,547.0,547.0,https://pypi.org/project/minisom,,,24497.0,24497.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +390,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-12-19 11:34:09.090000,2023-12-19 06:28:04,1472.0,2.0,162.0,32.0,245.0,,,1310.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,28,True,2023-12-19 07:41:39.000,1.3.4,76.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1573.0,1528.0,https://pypi.org/project/spacy-transformers,2023-12-19 07:15:13.000,45.0,210651.0,211651.0,https://anaconda.org/conda-forge/spacy-transformers,2023-12-19 11:34:09.090,28024.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +391,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-01-31 21:10:59.000000,2020-10-14 13:22:39,167.0,,339.0,71.0,87.0,27.0,26.0,1209.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1467.0,1323.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,144.0,31011.0,31368.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,26112.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +392,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-01-11 20:36:11.000000,2023-12-21 17:09:15,394.0,3.0,177.0,25.0,31.0,4.0,129.0,1175.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,28,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],515.0,505.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,10.0,114024.0,114366.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,17830.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +393,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-02-25 11:40:08.000000,2024-02-08 16:58:25,2080.0,1.0,249.0,40.0,39.0,68.0,590.0,1134.0,"pyclustering is a Python, C++ data mining library.",26.0,28,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,665.0,631.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,34.0,74987.0,76371.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,60700.0,,2.0,500.0,,,,,,,,,,,,,,,,,,,,,, +394,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-03-11 08:27:06.000000,2024-03-09 14:15:38,492.0,11.0,107.0,23.0,332.0,30.0,263.0,1113.0,Extra blocks for scikit-learn pipelines.,63.0,28,True,2024-01-29 20:20:07.000,0.7.4,37.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],132.0,132.0,https://pypi.org/project/scikit-lego,,,26933.0,27937.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,46222.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +395,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,174.0,35.0,86.0,88.0,122.0,894.0,A scikit-learn based module for multi-label et. al. classification.,28.0,28,True,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1514.0,1489.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,75927.0,75927.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +396,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-01-08 13:33:30.000000,2024-01-08 13:19:20,1302.0,3.0,149.0,50.0,56.0,23.0,66.0,824.0,Computer Vision in Python.,34.0,28,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1352.0,1224.0,https://pypi.org/project/mahotas,2022-06-28 08:11:26.000,128.0,12283.0,21035.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,393850.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +397,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-02-06 01:48:14.000000,2024-02-06 01:48:11,3707.0,8.0,324.0,66.0,681.0,37.0,526.0,815.0,The Classical Language Toolkit.,120.0,28,True,2023-12-27 08:38:23.000,1.2.1,211.0,cltk,,,,,297.0,255.0,https://pypi.org/project/cltk,2023-12-27 08:38:23.000,42.0,1759.0,1759.0,,,,,2.0,55.0,,,,,,,,,,,,,,,,,,,,,, +398,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-03-14 09:12:36.000000,2024-03-14 08:04:36,1339.0,22.0,124.0,25.0,462.0,11.0,129.0,794.0,A Comparative Framework for Multimodal Recommender Systems.,19.0,28,True,2024-03-05 06:52:53.000,2.0.0,55.0,cornac,conda-forge/cornac,,,,218.0,202.0,https://pypi.org/project/cornac,2024-03-05 07:03:08.000,16.0,114204.0,122107.0,https://anaconda.org/conda-forge/cornac,2024-03-05 22:37:34.614,355666.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +399,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-03-07 10:58:08.000000,2024-03-03 16:20:10,323.0,82.0,87.0,20.0,113.0,36.0,77.0,564.0,pyspark methods to enhance developer productivity.,27.0,28,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],82.0,75.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,788203.0,788203.0,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,,,,, +400,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-11-03 15:14:22.000000,2023-11-03 14:46:16,569.0,,38.0,12.0,69.0,7.0,26.0,208.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,28,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,40202.0,39947.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,255.0,5629383.0,5678383.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2058000.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +401,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-12-23 16:12:25.000000,2023-12-23 16:11:39,302.0,1.0,2681.0,141.0,44.0,113.0,132.0,17396.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",20.0,27,True,2023-12-23 16:12:25.000,1.6.5,185.0,vit-pytorch,,,,['pytorch'],420.0,414.0,https://pypi.org/project/vit-pytorch,2023-12-23 16:12:25.000,6.0,17660.0,17660.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +402,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-02-28 15:48:01.000000,2023-10-12 07:20:40,1894.0,,1018.0,228.0,455.0,66.0,265.0,16208.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,54006.0,54413.0,,,,https://hub.docker.com/r/remnux/ciphey,2.0,,,,,,,,,,2023-10-14 18:53:31.974373,15.0,22801.0,,,,,,,,,,, +403,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-03-13 21:46:33.000000,2024-03-13 21:27:45,849.0,180.0,897.0,86.0,387.0,208.0,300.0,10383.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",69.0,27,False,2024-03-13 21:46:33.000,2.0.12,100.0,pandas-ai,,,,,2745.0,2745.0,https://pypi.org/project/pandas-ai,,,,,,,,,3.0,,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,,,,, +404,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-11-27 11:39:00.000000,2023-11-27 11:38:59,333.0,,1387.0,431.0,50.0,98.0,87.0,10339.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,27,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],57.0,21.0,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,36.0,27137.0,27137.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +405,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1125.0,352.0,79.0,48.0,231.0,7893.0,StarCraft II Learning Environment.,39.0,27,True,2022-07-13 12:08:43.000,4.0,6.0,pysc2,,,,,707.0,707.0,https://pypi.org/project/pysc2,,,2276.0,2669.0,,,,,3.0,31116.0,,,google-deepmind/pysc2,,,,,,,,,,,,,,,,,,, +406,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1639.0,461.0,698.0,33.0,441.0,7278.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,1801.0,1823.0,,,,,2.0,1999.0,,,,,,,,,,,,,,,,,,,,,, +407,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1352.0,348.0,14.0,42.0,65.0,6292.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1332.0,1290.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,42.0,22245.0,22245.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +408,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-10-06 08:13:53.418000,2023-01-27 13:12:44,652.0,,983.0,146.0,93.0,75.0,305.0,6143.0,A Python scikit for building and analyzing recommender systems.,45.0,27,False,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,71.0,21.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,133268.0,141283.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,352674.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +409,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2023-10-03 15:08:28.000000,2018-07-25 01:28:08,1796.0,,780.0,275.0,438.0,221.0,329.0,4810.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],349.0,309.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,256.0,256.0,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,,, +410,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-03-07 18:10:01.000000,2023-10-05 16:17:35,6152.0,,520.0,153.0,1906.0,307.0,1329.0,4369.0,ArrayFire: a general purpose GPU library.,88.0,27,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,9.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,9.0,1299.0,1352.0,,,,,2.0,5601.0,,,,,,,,,,,,,,,,,,,,,, +411,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2023-06-16 19:25:16.902000,2022-04-01 13:57:36,131.0,,961.0,145.0,30.0,46.0,77.0,4202.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,8252.0,8055.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,197.0,169757.0,170137.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13708.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +412,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,,548.0,104.0,617.0,89.0,606.0,4177.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],87.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,87.0,459845.0,461584.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,74785.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +413,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-03-09 16:20:29.000000,2023-09-01 03:04:11,1137.0,,716.0,60.0,1013.0,166.0,739.0,3986.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],119.0,116.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,3.0,5208.0,5208.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +414,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,283.0,226.0,11.0,356.0,3862.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,1009920.0,1010331.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,20986.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +415,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-03-05 19:35:28.000000,2023-10-12 08:57:51,209.0,,308.0,85.0,94.0,43.0,32.0,3462.0,Python library that makes it easy for data scientists to create charts.,25.0,27,True,2023-10-12 09:01:22.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,76.0,76.0,https://pypi.org/project/chartify,,,10508.0,10969.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,29534.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +416,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-03-09 03:35:01.000000,2024-03-08 19:28:28,465.0,16.0,271.0,50.0,458.0,59.0,255.0,3284.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,27,True,2024-03-08 20:24:53.000,0.4.11,24.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,4.0,,https://pypi.org/project/hummingbird-ml,2024-03-08 20:21:40.000,4.0,8222.0,9288.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-03-08 22:15:29.532,38120.0,,2.0,374.0,,,,,,,,,,,,,,,,,,,,,, +417,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-01-10 22:28:30.000000,2023-09-10 15:15:16,1059.0,,234.0,62.0,112.0,7.0,266.0,3147.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,521.0,512.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,9.0,15027.0,15043.0,,,,,3.0,1011.0,,,,,,,,,,,,,,,,,,,,,, +418,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1007.0,167.0,215.0,43.0,146.0,3031.0,Performance analysis of predictive (alpha) stock factors.,25.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,697.0,679.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,1602.0,1880.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,20366.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +419,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,445.0,83.0,245.0,58.0,154.0,3029.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,False,2020-11-06 15:31:29.000,0.6.0,7.0,fastnlp,,,,,175.0,175.0,https://pypi.org/project/fastnlp,,,51797.0,51798.0,,,,,2.0,75.0,,,,,,,,,,,,,,,,,,,,,, +420,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,650.0,109.0,72.0,89.0,123.0,2960.0,Productivity Tools for Plotly + Pandas.,38.0,27,False,,,,cufflinks,,,,['pandas'],10264.0,10264.0,https://pypi.org/project/cufflinks,,,80374.0,80374.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +421,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-09-14 20:07:18.000000,2021-10-29 06:15:49,2535.0,,414.0,64.0,932.0,315.0,745.0,2866.0,StellarGraph - Machine Learning on Graphs.,37.0,27,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],263.0,255.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,8.0,4087.0,4087.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +422,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-12-04 12:10:57.449000,2023-11-29 13:26:08,135.0,,264.0,52.0,19.0,35.0,97.0,2808.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,27,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2093.0,2073.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,20.0,76894.0,77637.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,27524.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +423,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-09 05:18:22.000000,2024-03-09 05:18:19,553.0,5.0,468.0,97.0,43.0,82.0,240.0,2709.0,Learning to Rank in TensorFlow.,34.0,27,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,2023-08-11 17:56:48.000,13.0,115593.0,115593.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +424,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-03-04 15:26:06.000000,2022-09-28 17:12:28,249.0,,298.0,29.0,320.0,76.0,38.0,2630.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,27,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],865.0,864.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,19262.0,19351.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2782.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +425,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-03-09 01:57:52.000000,2024-01-30 18:07:43,695.0,34.0,228.0,36.0,146.0,7.0,140.0,2262.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,27,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,166.0,163.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,3.0,10247.0,10254.0,,,,,3.0,296.0,,,,,,,,,,,,,,,,,,,,,, +426,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,328.0,78.0,55.0,161.0,68.0,2241.0,Multilingual text (NLP) processing toolkit.,26.0,27,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1289.0,1194.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,95.0,63837.0,63837.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +427,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-03-06 06:56:13.000000,2024-03-06 06:55:14,388.0,3.0,285.0,56.0,14.0,22.0,78.0,2190.0,Beautiful visualizations of how language differs among document types.,14.0,27,True,2024-03-06 06:56:13.000,0.2.1,150.0,scattertext,conda-forge/scattertext,,,,518.0,507.0,https://pypi.org/project/scattertext,2024-03-06 06:56:13.000,11.0,13479.0,14571.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,86335.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +428,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317.0,65.0,38.0,96.0,160.0,2170.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],368.0,344.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,10096.0,10096.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +429,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,89.0,124.0,33.0,230.0,2162.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1819.0,1704.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,115.0,30379.0,32065.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,138321.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +430,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-02-21 23:17:37.000000,2024-02-21 23:13:33,479.0,8.0,385.0,62.0,153.0,7.0,92.0,2086.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,27,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,605.0,588.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,17.0,46233.0,46233.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +431,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-01-24 14:27:34.000000,2021-07-16 09:03:20,66.0,,463.0,39.0,43.0,64.0,58.0,2054.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2010.0,1996.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,61193.0,65602.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,485.0,,3.0,255027.0,,,,,,,,,,,,,,,,,,,,,, +432,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,,212.0,36.0,1081.0,25.0,496.0,1727.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],270.0,267.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,3.0,2435.0,2991.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,17244.0,,2.0,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,,,,, +433,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-03-14 04:07:25.000000,2024-03-14 00:29:41,6345.0,123.0,280.0,49.0,2609.0,307.0,1371.0,1549.0,cuGraph - RAPIDS Graph Analytics Library.,112.0,27,True,2024-02-13 16:02:14.000,24.02.00,34.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,2.0,219.0,733.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,18007.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +434,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-01-04 20:19:39.000000,2024-01-04 20:19:39,950.0,4.0,567.0,108.0,283.0,16.0,300.0,1485.0,Execute Python code on the fly and display results in Tableau visualizations:.,50.0,27,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,149.0,147.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,9662.0,9715.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4481.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +435,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-03-06 18:34:09.000000,2024-03-06 18:34:08,2827.0,11.0,174.0,26.0,666.0,118.0,443.0,1479.0,A Python library for learning and evaluating knowledge graph embeddings.,38.0,27,True,2024-02-19 21:29:27.000,1.10.2,47.0,pykeen,,,,,6.0,,https://pypi.org/project/pykeen,2024-02-19 21:25:43.000,6.0,5168.0,5171.0,,,,,2.0,177.0,,,,,,,,,,,,,,,,,,,,,, +436,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,312.0,74.0,742.0,58.0,168.0,1478.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,419.0,388.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,31.0,2009.0,2009.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +437,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,,257.0,47.0,184.0,54.0,120.0,1370.0,Metric learning algorithms in Python.,22.0,27,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],371.0,358.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,13.0,15058.0,15311.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,11171.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +438,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-03-11 14:26:08.000000,2024-03-11 14:26:08,688.0,4.0,150.0,24.0,125.0,2.0,128.0,1346.0,"Extensible, parallel implementations of t-SNE.",11.0,27,True,2023-11-29 14:50:50.000,1.0.1,21.0,opentsne,conda-forge/opentsne,,,,754.0,754.0,https://pypi.org/project/opentsne,,,28606.0,34102.0,https://anaconda.org/conda-forge/opentsne,2023-11-29 23:41:32.898,236358.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +439,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-02-29 10:49:59.696000,2024-02-28 20:15:02,673.0,6.0,167.0,48.0,161.0,19.0,380.0,1312.0,moDel Agnostic Language for Exploration and eXplanation.,24.0,27,False,2024-02-28 20:54:37.000,1.7.0,27.0,dalex,conda-forge/dalex,,,,163.0,158.0,https://pypi.org/project/dalex,2024-02-28 20:54:37.000,5.0,20458.0,20769.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,11838.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +440,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-03-13 20:54:19.000000,2024-03-13 20:54:16,1039.0,28.0,113.0,24.0,115.0,30.0,52.0,1268.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",23.0,27,True,2024-03-12 03:37:43.000,1.4.3,46.0,imodels,,,,,73.0,66.0,https://pypi.org/project/imodels,2024-03-11 20:28:16.000,7.0,27847.0,27847.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +441,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-03-11 18:39:58.000000,2024-03-11 18:39:55,4208.0,4.0,285.0,82.0,643.0,19.0,608.0,1264.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,27,True,2024-01-31 22:49:04.000,24.01,37.0,pysal,conda-forge/pysal,,,,39.0,,https://pypi.org/project/pysal,2024-01-31 22:49:08.000,39.0,22233.0,34353.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,533280.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +442,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-03-02 16:58:45.000000,2023-06-06 09:46:40,415.0,,328.0,40.0,301.0,24.0,200.0,1201.0,A research toolkit for particle swarm optimization in Python.,45.0,27,True,2020-11-14 05:18:38.000,.1.2.0,15.0,pyswarms,,,,,352.0,352.0,https://pypi.org/project/pyswarms,,,17916.0,17916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +443,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2024-03-12 12:38:24.000000,2024-03-12 12:38:23,778.0,14.0,59.0,13.0,127.0,43.0,113.0,913.0,Visualize large time series data with plotly.py.,12.0,27,True,2024-01-14 18:45:33.000,0.9.2,61.0,plotly-resampler,conda-forge/plotly-resampler,,,,916.0,905.0,https://pypi.org/project/plotly-resampler,2024-01-14 18:35:43.000,11.0,377276.0,378622.0,https://anaconda.org/conda-forge/plotly-resampler,2024-01-23 20:24:24.113,35009.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +444,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-03-13 23:46:06.000000,2024-02-07 23:40:03,16569.0,41.0,359.0,44.0,1615.0,285.0,2959.0,849.0,An open-source application for biological image analysis.,143.0,27,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,1.0,805.0,859.0,,,,,3.0,6634.0,,,,,,,,,,,,,,,,,,,,,, +445,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-03-14 14:49:21.000000,2024-02-14 13:54:40,2672.0,48.0,102.0,10.0,524.0,32.0,93.0,837.0,Time series forecasting with scikit-learn models.,10.0,27,True,2023-11-16 21:42:02.000,0.11.0,25.0,skforecast,,,,['sklearn'],251.0,243.0,https://pypi.org/project/skforecast,2023-11-16 21:34:56.000,8.0,53662.0,53662.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +446,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2024-03-05 16:57:58.000000,2024-03-05 16:57:37,543.0,83.0,101.0,24.0,97.0,15.0,103.0,654.0,"Python library for reading audio file metadata, duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave, AIFF and a few..",26.0,27,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,112.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,112.0,24945.0,24945.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +447,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1153.0,180.0,213.0,23.0,534.0,8664.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,243.0,,,,,3.0,9255.0,,,,,,,,,,,,,,,,,,,,,, +448,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-10-23 02:26:28.000000,2020-05-03 07:13:22,108.0,,595.0,140.0,31.0,70.0,55.0,5520.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1587.0,1538.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,49.0,1094777.0,1095195.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18418.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +449,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-03-07 16:48:18.000000,2024-03-07 16:42:10,217.0,4.0,293.0,69.0,179.0,22.0,54.0,4883.0,"A data augmentations library for audio, image, text, and video.",34.0,26,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,108.0,104.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,2332.0,2332.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +450,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-01-16 11:28:25.000000,2022-08-23 22:54:23,1046.0,,982.0,240.0,215.0,51.0,200.0,4350.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,52.0,51.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,617.0,711.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3290.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +451,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-01-16 13:26:41.000000,2023-05-06 14:09:10,264.0,,422.0,41.0,52.0,75.0,174.0,4096.0,An Open-Source Framework for Prompt-Learning.,22.0,26,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,105.0,103.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,2.0,1377.0,1377.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +452,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-03-14 08:45:42.000000,2024-02-21 07:25:31,1402.0,42.0,343.0,71.0,1298.0,93.0,82.0,3347.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,36.0,26,True,2024-02-21 07:38:44.000,1.1,15.0,lit-nlp,conda-forge/lit-nlp,,,,31.0,30.0,https://pypi.org/project/lit-nlp,2024-02-21 06:48:57.000,1.0,3965.0,5571.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,67472.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +453,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-08-14 20:14:15.000000,2023-08-14 20:14:08,2108.0,,538.0,145.0,237.0,39.0,633.0,3273.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,84.0,26,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],439.0,437.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,745.0,745.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +454,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-03-11 06:51:01.000000,2024-03-11 06:51:00,4336.0,13.0,568.0,41.0,999.0,214.0,691.0,3115.0,"A unified, comprehensive and efficient recommendation library.",71.0,26,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,2619.0,2732.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4542.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +455,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-03-13 09:54:52.000000,2024-03-13 09:29:58,1533.0,34.0,610.0,45.0,28.0,2.0,397.0,2795.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,31.0,26,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],21.0,21.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,418.0,418.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +456,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,67.0,167.0,164.0,113.0,2719.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,90.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,90.0,400169.0,401972.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,147889.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +457,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2023-12-11 14:10:13.000000,2023-12-11 14:10:09,768.0,,641.0,177.0,75.0,23.0,565.0,2632.0,Python sync/async framework for Interactive Brokers API.,36.0,26,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,28.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,28.0,36614.0,37302.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,38570.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +458,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,708.0,167.0,94.0,134.0,358.0,2457.0,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,352.0,352.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +459,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-03-05 16:18:20.000000,2024-02-28 21:03:10,90.0,13.0,317.0,28.0,284.0,45.0,312.0,2325.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,8.0,26,True,2024-02-28 21:47:30.000,0.1.2,19.0,adapter-transformers,,,,['huggingface'],31.0,24.0,https://pypi.org/project/adapter-transformers,2023-12-16 14:14:02.000,7.0,19665.0,19665.0,,,,,3.0,,,,adapter-hub/adapters,,,,,,,,,,,,,,,,,,, +460,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,6.0,236.0,65.0,31.0,60.0,93.0,2204.0,Fast and Easy Infinite Neural Networks in Python.,29.0,26,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,96.0,95.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2031.0,2039.0,,,,,3.0,369.0,,,,,,,,,,,,,,,,,,,,,, +461,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-09-09 21:39:29.000000,2021-07-09 11:06:18,56.0,,492.0,41.0,24.0,65.0,38.0,2105.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,26,False,,,2.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],4787.0,4787.0,https://pypi.org/project/mtcnn,,,67415.0,67644.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,11221.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +462,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-02-16 02:07:00.000000,2024-02-16 02:06:53,862.0,6.0,446.0,61.0,325.0,113.0,92.0,1857.0,Library for training machine learning models with privacy for training data.,58.0,26,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,15.0,16260.0,16262.0,,,,,3.0,146.0,,,,,,,,,,,,,,,,,,,,,, +463,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-03-14 04:24:13.000000,2024-03-12 12:08:34,1869.0,239.0,120.0,29.0,157.0,18.0,20.0,1795.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,26,True,2023-09-10 04:20:57.000,0.4.168,144.0,labml,,,,,141.0,135.0,https://pypi.org/project/labml,2023-09-10 04:20:57.000,6.0,3515.0,3515.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +464,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-03-14 08:02:30.000000,2024-03-14 06:57:45,898.0,25.0,134.0,34.0,435.0,52.0,351.0,1786.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-03-14 07:55:27.000,1.1.4.4,29.0,orbit-ml,,,,,50.0,49.0,https://pypi.org/project/orbit-ml,2024-03-14 08:02:30.000,1.0,27903.0,27903.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +465,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-03-14 08:02:30.000000,2024-03-14 06:57:45,898.0,25.0,134.0,34.0,435.0,52.0,351.0,1786.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-03-14 07:55:27.000,1.1.4.4,29.0,orbit-ml,conda-forge/orbit-ml,,,,50.0,49.0,https://pypi.org/project/orbit-ml,2024-03-14 08:02:30.000,1.0,27903.0,28095.0,https://anaconda.org/conda-forge/orbit-ml,2023-12-19 05:59:30.209,5011.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +466,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,275.0,41.0,495.0,172.0,151.0,1728.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,156.0,148.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,36252.0,36258.0,,,,,3.0,457.0,,,,,,,,,,,,,,,,,,,,,, +467,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,54.0,446.0,6.0,402.0,1717.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,26,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],221.0,218.0,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,1329.0,1421.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3240.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +468,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,158.0,25.0,81.0,42.0,34.0,1673.0,A Python package for time series classification.,14.0,26,True,2023-06-18 12:34:19.000,0.13.0,8.0,pyts,conda-forge/pyts,,,,559.0,559.0,https://pypi.org/project/pyts,,,120396.0,121171.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,22491.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +469,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-03-14 00:00:25.000000,2024-03-13 23:52:26,844.0,78.0,253.0,47.0,673.0,50.0,64.0,1605.0,A lightweight library for PyTorch training tools and utilities.,119.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,6075.0,6075.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +470,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,309.0,27.0,379.0,89.0,155.0,1557.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],56.0,54.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,2.0,2450.0,2450.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +471,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-02-19 02:13:41.000000,2024-02-01 16:55:49,1031.0,2.0,171.0,18.0,65.0,28.0,332.0,1445.0,PyTorch Extension Library of Optimized Scatter Operations.,29.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],84.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,84.0,39114.0,44559.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-01-12 22:30:52.418,245048.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +472,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-02-14 20:47:03.000000,2023-06-07 07:35:59,3033.0,,119.0,37.0,336.0,11.0,187.0,1421.0,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,43.0,pycm,,,,,279.0,279.0,https://pypi.org/project/pycm,,,54015.0,54015.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +473,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,,265.0,76.0,481.0,40.0,198.0,1301.0,Underthesea - Vietnamese NLP Toolkit.,18.0,26,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,956.0,929.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,27.0,9573.0,9645.0,,,,,3.0,5946.0,,,,,,,,,,,,,,,,,,,,,, +474,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-03-13 06:51:23.000000,2024-03-13 06:51:22,1427.0,33.0,252.0,74.0,104.0,22.0,54.0,1233.0,Model analysis tools for TensorFlow.,57.0,26,True,2023-08-14 20:20:00.000,0.45.0,56.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",2.0,2.0,https://pypi.org/project/tensorflow-model-analysis,,,83208.0,83208.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +475,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,173.0,26.0,36.0,1.0,116.0,1227.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-03-30 16:22:41.000,0.5.5,5.0,fancyimpute,,,,['sklearn'],1543.0,1543.0,https://pypi.org/project/fancyimpute,,,31985.0,31985.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +476,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-11-28 23:16:10.000000,2023-09-10 06:51:22,1752.0,,191.0,43.0,257.0,66.0,212.0,1220.0,Python audio and music signal processing library.,20.0,26,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,440.0,407.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,33.0,2262.0,2262.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +477,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,143.0,35.0,214.0,109.0,152.0,1214.0,Real-time stream processing for python.,48.0,26,False,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,492.0,451.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,41.0,19621.0,29850.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,797897.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +478,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-11-24 11:08:54.000000,2023-11-24 11:08:47,208.0,,83.0,34.0,109.0,7.0,18.0,1163.0,A library of reinforcement learning building blocks in JAX.,21.0,26,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],223.0,212.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,1664163.0,1664163.0,,,,,3.0,,,,google-deepmind/rlax,,,,,,,,,,,,,,,,,,, +479,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-11-24 07:58:55.401000,2023-11-09 17:20:43,139.0,,109.0,21.0,103.0,36.0,74.0,1075.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,26,True,2023-11-09 17:23:02.000,1.5.1,23.0,submitit,conda-forge/submitit,,,,2286.0,2266.0,https://pypi.org/project/submitit,2023-11-09 17:23:02.000,20.0,276700.0,277502.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,34492.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +480,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-03-12 14:09:58.000000,2024-03-08 17:11:00,1922.0,44.0,364.0,54.0,488.0,156.0,250.0,1056.0,Machine learning on FPGAs using HLS.,59.0,26,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,1286.0,1458.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7260.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +481,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-03-14 02:39:56.000000,2024-03-13 17:40:53,2135.0,222.0,85.0,18.0,793.0,76.0,200.0,1053.0,"MetricFlow allows you to define, build, and maintain metrics in code.",44.0,26,False,2024-03-02 00:18:17.000,0.205.0,81.0,metricflow,,,,,23.0,20.0,https://pypi.org/project/metricflow,2024-03-01 20:41:26.000,3.0,30214.0,30214.0,,,,,3.0,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,,,,, +482,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-03-14 10:12:05.000000,2024-03-14 10:12:04,1596.0,176.0,71.0,13.0,437.0,58.0,503.0,1041.0,"An open-source engine that automates AI infrastructure provisioning on any cloud for development, training and..",23.0,26,True,2024-03-14 09:18:25.000,0.16.3,184.0,dstack,,,,,14.0,14.0,https://pypi.org/project/dstack,2024-03-14 09:18:25.000,,2802.0,2802.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +483,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-03-04 18:16:03.000000,2024-02-29 15:08:13,800.0,6.0,112.0,30.0,405.0,64.0,314.0,997.0,BAyesian Model-Building Interface (Bambi) in Python.,36.0,26,True,2023-10-25 02:04:11.000,0.13.0,23.0,bambi,conda-forge/bambi,,,,109.0,109.0,https://pypi.org/project/bambi,,,30336.0,31081.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,29068.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +484,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-02-29 13:41:12.000000,2024-02-29 13:41:11,1144.0,2.0,236.0,61.0,246.0,22.0,365.0,955.0,Search and download Copernicus Sentinel satellite images.,44.0,26,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,579.0,539.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,40.0,26385.0,27077.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,28320.0,,3.0,262.0,,,,,,,,,,,,,,,,,,,,,, +485,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-03-07 13:56:12.000000,2024-02-29 10:24:59,903.0,42.0,106.0,43.0,105.0,56.0,46.0,622.0,Bias Auditing & Fair ML Toolkit.,21.0,26,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,157.0,150.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,7.0,9605.0,9605.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +486,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-03-13 11:42:47.000000,2024-03-13 11:42:33,575.0,21.0,155.0,32.0,183.0,8.0,98.0,568.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,30.0,26,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],335.0,315.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,20.0,33780.0,34024.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,5129.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +487,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-03-09 00:32:37.185000,2024-03-08 20:01:01,3751.0,43.0,69.0,47.0,355.0,21.0,395.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,26,False,2024-03-08 20:13:23.000,5.0.1,71.0,skll,conda-forge/skll,,,['sklearn'],59.0,41.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,18.0,542.0,1018.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,13349.0,,3.0,13.0,,,,,,,,,,,,,,,,,,,,,, +488,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-03-12 21:41:40.000000,2023-08-23 17:20:54,1241.0,,153.0,20.0,710.0,26.0,208.0,476.0,A package built to support working with spatial data using open source python.,44.0,26,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,315.0,298.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,6306.0,7526.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,72014.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +489,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,214.0,22.0,17.0,46.0,23.0,422.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7712.0,7428.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,284.0,180194.0,181041.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39847.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +490,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-02-19 07:00:31.744000,2024-02-18 18:51:38,532.0,11.0,39.0,5.0,15.0,6.0,48.0,319.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,14.0,26,True,2024-02-18 18:57:32.000,0.9.0,25.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],662.0,630.0,https://pypi.org/project/scikit-posthocs,2024-02-18 18:57:32.000,32.0,98159.0,120460.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-02-19 07:00:31.744,914366.0,,3.0,40.0,,,,,,,,,,,,,,,,,,,,,, +491,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-02-01 02:29:47.000000,2024-02-01 02:29:37,1618.0,1.0,802.0,148.0,1563.0,107.0,125.0,7914.0,Trax Deep Learning with Clear Code and Speed.,79.0,25,True,2021-10-26 20:29:38.000,1.4.1,18.0,trax,,,,,141.0,141.0,https://pypi.org/project/trax,,,3516.0,3516.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +492,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824.0,169.0,1588.0,145.0,74.0,6363.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,213.0,218.0,,,,,3.0,355.0,,,,,,,,,,,,,,,,,,,,,, +493,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,979.0,182.0,327.0,334.0,292.0,5770.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,124.0,121.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,409.0,457.0,,,,,3.0,3723.0,,,,,,,,,,,,,,,,,,,,,, +494,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-03-14 13:28:00.000000,2024-03-14 13:16:14,3485.0,93.0,597.0,94.0,3837.0,206.0,1360.0,4837.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,90.0,25,True,2024-02-27 17:33:20.000,1.35.0,75.0,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +495,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-02-17 08:10:07.000000,2023-11-19 13:26:15,334.0,,946.0,46.0,33.0,65.0,112.0,4804.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",20.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],192.0,183.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,9.0,3260.0,3260.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +496,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,159.0,130.0,83.0,101.0,4610.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],766.0,760.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,458.0,458.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +497,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,512.0,137.0,649.0,65.0,198.0,3856.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,2609.0,2609.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +498,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,4.0,445.0,90.0,78.0,65.0,137.0,3346.0,Generate embeddings from large-scale graph-structured data.,32.0,25,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,3.0,415239.0,415242.0,,,,,2.0,177.0,,,,,,,,,,,,,,,,,,,,,, +499,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-03-03 01:58:14.000000,2024-03-03 01:31:19,180.0,1.0,372.0,162.0,84.0,87.0,101.0,3138.0,A deep learning library for video understanding research.,55.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,7.0,68583.0,68583.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +500,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-03-12 16:54:46.000000,2023-12-09 00:22:24,2360.0,,683.0,163.0,61.0,10.0,719.0,3038.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,28.0,25,True,2023-10-23 21:02:38.000,1.6.0,20.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,907.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,62566.0,,3.0,4707.0,,,,,,,,,,,,,,,,,,,,,, +501,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,1.0,1050.0,217.0,3649.0,429.0,1111.0,2993.0,Unified and efficient Machine Learning.,248.0,25,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1623.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,129152.0,https://hub.docker.com/r/shogun/shogun,3.0,,,,,,,,,,2019-01-31 13:45:10.435327,1.0,1505.0,shogun,,,,,,,,,, +502,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-01-20 00:01:11.000000,2024-01-20 00:01:11,1576.0,3.0,246.0,32.0,2015.0,3.0,650.0,2925.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,35.0,25,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,4761.0,4858.0,,,,,3.0,2634.0,,,,,,,,,,,,,,,,,,,,,, +503,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,468.0,99.0,49.0,59.0,253.0,2789.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,685.0,685.0,https://pypi.org/project/neuralcoref,,,2907.0,3225.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,15075.0,,3.0,939.0,,,,,,,,,,,,,,,,,,,,,, +504,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-02-21 08:50:08.000000,2023-06-30 21:16:10,470.0,,322.0,66.0,316.0,45.0,124.0,2740.0,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],51.0,50.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,2260.0,2586.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14699.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +505,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-11-01 10:12:46.000000,2022-10-05 16:26:03,376.0,,221.0,50.0,481.0,45.0,70.0,2693.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,207.0,204.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,24532.0,24533.0,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,,, +506,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,316.0,94.0,2157.0,195.0,982.0,2672.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,25,True,2023-01-10 09:30:53.000,0.10.0,100.0,pymars,,,,,,,https://pypi.org/project/pymars,,,45091.0,45091.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +507,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,216.0,67.0,42.0,17.0,23.0,2669.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,917.0,912.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,58009.0,58279.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14333.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +508,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2024-01-22 06:09:24.000000,2023-07-01 21:40:58,1936.0,,331.0,40.0,86.0,28.0,157.0,2421.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],3.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,3.0,2199.0,2199.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +509,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-02-10 10:19:11.000000,2024-02-10 10:17:50,226.0,9.0,242.0,47.0,92.0,19.0,115.0,2107.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,25,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",112.0,109.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,3.0,3384.0,3384.0,,,,,3.0,,,,mckinsey/causalnex,,,,,,,,,,,,,,,,,,, +510,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,,84.0,41.0,47.0,12.0,75.0,2079.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,56.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,56.0,39377.0,39377.0,,,,,3.0,,4.0,,,,,,,,,,,,,,,,,,,,, +511,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-03-05 11:46:16.000000,2024-03-05 11:46:12,2314.0,12.0,236.0,37.0,38.0,13.0,114.0,2062.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,25,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,231.0,225.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,6.0,3503.0,4008.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,22250.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +512,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,199.0,29.0,65.0,35.0,83.0,1973.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],323.0,316.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,7.0,4488.0,4668.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6843.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +513,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,300.0,58.0,1313.0,233.0,810.0,1803.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],102.0,100.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,605.0,605.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +514,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2023-08-06 22:24:12.000000,2022-02-12 02:32:06,1636.0,,160.0,61.0,66.0,66.0,129.0,1794.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,386.0,376.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,620.0,620.0,,,,,3.0,31.0,,,,,,,,,,,,,,,,,,,,,, +515,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,265.0,50.0,87.0,22.0,190.0,1507.0,"Genetic Programming in Python, with a scikit-learn inspired API.",10.0,25,True,2022-05-03 10:56:08.000,0.4.2,2.0,gplearn,conda-forge/gplearn,,,['sklearn'],517.0,517.0,https://pypi.org/project/gplearn,,,5885.0,6031.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6614.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +516,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,404.0,91.0,165.0,103.0,224.0,1355.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,205.0,205.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +517,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,141.0,29.0,63.0,7.0,70.0,1279.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1390.0,1377.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,12740.0,12740.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +518,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-01-05 18:00:58.000000,2024-01-05 18:00:58,67.0,1.0,290.0,55.0,63.0,12.0,109.0,1219.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,25,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,1036.0,1005.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,31.0,11320.0,11320.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +519,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,230.0,36.0,68.0,52.0,206.0,1213.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,25,True,2023-10-12 14:58:48.000,2.1.2,6.0,innvestigate,,,,['tensorflow'],119.0,119.0,https://pypi.org/project/innvestigate,,,596.0,600.0,,,,,3.0,92.0,,,,,,,,,,,,,,,,,,,,,, +520,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-03-12 10:20:37.000000,2024-02-13 12:59:29,2071.0,1.0,215.0,42.0,588.0,85.0,431.0,976.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,25,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,49.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,49.0,53945.0,54460.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,18549.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +521,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,,191.0,49.0,61.0,1.0,68.0,976.0,Training neural models with structured signals.,38.0,25,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],430.0,427.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,18562.0,18562.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +522,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-03-05 13:03:44.000000,2024-03-05 13:03:44,730.0,3.0,143.0,16.0,103.0,29.0,236.0,934.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,25,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],75.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,75.0,24584.0,30179.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-01-09 03:56:17.077,251786.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +523,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,255.0,42.0,72.0,103.0,188.0,914.0,Gaussian Process Optimization using GPy.,50.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,534.0,494.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,40.0,5177.0,5177.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +524,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-01-05 08:05:26.000000,2024-01-05 08:05:26,564.0,2.0,95.0,16.0,193.0,100.0,135.0,649.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",33.0,25,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,312.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,312.0,2554322.0,2554466.0,https://anaconda.org/anaconda/pysoundfile,,,,3.0,17477.0,,,,,,,,,,,,,,,,,,,,,, +525,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-03-13 14:06:46.000000,2024-03-12 16:02:28,863.0,22.0,81.0,9.0,722.0,90.0,436.0,591.0,Automated modeling and machine learning framework FEDOT.,33.0,25,True,2024-01-23 15:03:23.000,0.7.3,21.0,fedot,,,,,47.0,44.0,https://pypi.org/project/fedot,2024-03-05 21:31:39.000,3.0,1156.0,1156.0,,,,,2.0,,,,aimclub/FEDOT,,,,,,,,,,,,,,,,,,, +526,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-03-05 03:43:51.000000,2024-03-05 03:43:50,838.0,7.0,135.0,29.0,87.0,35.0,75.0,586.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,25,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,,437.0,413.0,https://pypi.org/project/ml-metadata,2023-08-10 00:37:12.000,24.0,64451.0,64486.0,,,,,3.0,2120.0,,,,,,,,,,,,,,,,,,,,,, +527,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-03-07 12:59:02.000000,2024-03-07 12:58:46,473.0,7.0,50.0,8.0,53.0,168.0,234.0,580.0,python binding for libvips using cffi.,16.0,25,True,2024-01-04 12:00:44.000,2.2.2,25.0,pyvips,conda-forge/pyvips,,,,731.0,681.0,https://pypi.org/project/pyvips,2024-01-04 12:00:44.000,50.0,40138.0,41945.0,https://anaconda.org/conda-forge/pyvips,2023-09-26 03:23:28.071,74124.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +528,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-01-03 13:23:50.000000,2022-01-15 18:08:37,1718.0,,64.0,16.0,13.0,34.0,7.0,517.0,Pure-Python full-text search library.,42.0,25,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3703.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3703.0,396242.0,403054.0,https://anaconda.org/conda-forge/whoosh,2023-09-23 13:28:08.196,231639.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +529,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-02-20 10:07:24.000000,2023-12-26 16:13:16,6706.0,24.0,143.0,36.0,394.0,37.0,135.0,367.0,Neuroimaging in Python FMRI analysis package.,69.0,25,False,2023-12-21 16:45:52.000,0.6.0,8.0,nipy,conda-forge/nipy,,,,274.0,223.0,https://pypi.org/project/nipy,2023-12-21 16:45:52.000,51.0,2381.0,3712.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,106524.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +530,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-02-11 07:50:28.337000,2024-02-11 00:53:13,766.0,9.0,85.0,13.0,30.0,7.0,47.0,362.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,25,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,397.0,372.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,25.0,107715.0,109318.0,https://anaconda.org/conda-forge/pymap3d,2024-02-11 07:50:28.337,67364.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +531,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-03-12 05:14:33.000000,2024-03-06 11:08:29,532.0,16.0,56.0,40.0,282.0,19.0,60.0,301.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",39.0,25,True,2024-03-06 08:59:39.000,1.2.7,74.0,gokart,,,,,79.0,74.0,https://pypi.org/project/gokart,2024-03-06 08:59:39.000,5.0,4317.0,4317.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +532,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-03-12 17:13:41.000000,2024-03-12 17:13:40,2600.0,62.0,59.0,8.0,248.0,31.0,80.0,257.0,Python recommendation toolkit.,14.0,25,False,2024-02-16 21:04:30.000,0.14.4,25.0,lenskit,conda-forge/lenskit,,,,103.0,97.0,https://pypi.org/project/lenskit,2024-02-16 21:03:49.000,6.0,1264.0,1886.0,https://anaconda.org/conda-forge/lenskit,2024-01-22 16:23:58.143,24918.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +533,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-03-14 01:51:13.000000,2024-03-13 08:59:28,468.0,68.0,105.0,21.0,490.0,58.0,97.0,256.0,An open-source toolkit for large-scale genomic analysis.,26.0,25,False,2024-03-12 08:52:09.000,2.0.0,16.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,61004.0,61108.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,3857.0,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,, +534,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-10-16 20:29:38.000000,2023-03-29 07:02:37,553.0,,838.0,125.0,63.0,119.0,74.0,5010.0,Image augmentation library in Python for machine learning.,23.0,24,True,,,,Augmentor,,,,,719.0,719.0,https://pypi.org/project/Augmentor,,,8391.0,8391.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +535,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-12-19 09:38:24.000000,2023-04-28 16:55:30,521.0,,435.0,62.0,90.0,48.0,88.0,4906.0,Finding duplicate images made easy!.,15.0,24,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],94.0,89.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,22470.0,22470.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +536,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1370.0,351.0,59.0,51.0,,4270.0,Python Algorithmic Trading Library.,11.0,24,True,,,8.0,pyalgotrade,,,,,204.0,183.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,818.0,818.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +537,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,718.0,64.0,247.0,129.0,824.0,4010.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,36.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,36.0,5226.0,5226.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +538,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,917.0,177.0,385.0,33.0,430.0,3810.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,89.0,89.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +539,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-03-11 16:08:57.000000,2024-03-11 16:03:05,1594.0,11.0,502.0,152.0,609.0,69.0,75.0,3513.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",166.0,24,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,24.0,24.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +540,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-09-22 09:55:14.000000,2023-05-19 17:52:25,508.0,,811.0,62.0,629.0,109.0,396.0,3161.0,A high-performance distributed training framework for Reinforcement Learning.,42.0,24,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],123.0,122.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,812.0,812.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +541,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-03-13 04:17:20.000000,2024-03-11 08:27:22,2739.0,50.0,1096.0,134.0,1052.0,52.0,72.0,3094.0,a distributed deep learning platform.,88.0,24,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,3.0,3.0,,,,,66.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,736.0,https://hub.docker.com/r/apache/singa,3.0,,,,,,,,,,2022-05-31 15:24:19.649658,4.0,6305.0,,,,,,,,,,, +542,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,73.0,193.0,117.0,3078.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,140.0,128.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,902.0,964.0,,,,,3.0,4512.0,,,,,,,,,,,,,,,,,,,,,, +543,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,646.0,73.0,25.0,113.0,101.0,2972.0,Neural network visualization toolkit for keras.,10.0,24,False,,,8.0,keras-vis,,,,['tensorflow'],2892.0,2892.0,https://pypi.org/project/keras-vis,,,1162.0,1162.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +544,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-02-01 01:44:20.000000,2023-12-11 13:43:52,1053.0,,403.0,126.0,143.0,172.0,247.0,2597.0,PYthon svg GrAph plotting Library.,77.0,24,False,2015-02-16 16:54:22.000,1.7.0,5.0,pygal,conda-forge/pygal,,,,,,https://pypi.org/project/pygal,,,385525.0,388233.0,https://anaconda.org/conda-forge/pygal,2023-11-21 17:04:08.093,37913.0,,2.0,,-4.0,,,,,,,,,,,,,,,,,,,,, +545,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-02-10 12:55:47.000000,2023-07-23 14:42:27,191.0,,453.0,38.0,239.0,18.0,279.0,2450.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,24,True,2023-07-23 13:34:05.000,4.1.0,17.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],,,https://pypi.org/project/pytorch-tabnet,,,41559.0,41789.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,6226.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +546,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,312.0,30.0,695.0,49.0,150.0,2425.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,88.0,87.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,423.0,423.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +547,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,645.0,89.0,29.0,25.0,52.0,2315.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,715.0,534.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,181.0,28035.0,28035.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +548,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,256.0,57.0,56.0,19.0,50.0,2206.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],672.0,653.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,6091.0,6091.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +549,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,241.0,69.0,21.0,93.0,66.0,2083.0,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,281.0,264.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,17.0,28957.0,28957.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +550,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,7.0,228.0,43.0,36.0,45.0,24.0,1839.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,24,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],454.0,432.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,2146.0,3065.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,32181.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +551,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2024-03-09 04:01:21.000000,2023-12-04 14:09:45,571.0,,128.0,56.0,449.0,67.0,102.0,1794.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,29.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,100.0,93.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,7.0,4857.0,4857.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +552,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2023-11-21 03:54:52.000000,2022-09-18 16:01:20,637.0,,268.0,28.0,183.0,9.0,389.0,1610.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,24,False,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],180.0,172.0,https://pypi.org/project/talos,2022-05-28 10:07:34.000,8.0,1228.0,1228.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +553,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-09-22 07:25:32.800000,2023-04-20 14:53:46,460.0,,230.0,49.0,48.0,22.0,91.0,1585.0,Contextually-keyed word vectors.,19.0,24,True,2023-04-17 13:11:14.000,2.0.2,18.0,sense2vec,conda-forge/sense2vec,,,,335.0,335.0,https://pypi.org/project/sense2vec,,,2615.0,4624.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,35980.0,,3.0,62903.0,,,,,,,,,,,,,,,,,,,,,, +554,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,119.0,29.0,31.0,58.0,50.0,1565.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],403.0,398.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,5.0,89153.0,89153.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +555,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-03-05 07:56:07.000000,2024-03-05 07:56:07,582.0,2.0,296.0,56.0,115.0,46.0,30.0,1495.0,Interpretability and explainability of data and machine learning models.,41.0,24,True,2023-07-01 11:47:13.000,0.3.0,3.0,aix360,,,,,87.0,87.0,https://pypi.org/project/aix360,,,1412.0,1412.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +556,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-03-05 19:49:22.000000,2023-11-08 21:41:55,157.0,,163.0,103.0,185.0,35.0,25.0,1480.0,fklearn: Functional Machine Learning.,55.0,24,True,2023-11-09 12:59:48.000,3.0.0,31.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2023-11-09 12:59:48.000,,586.0,586.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +557,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-03-14 13:20:54.000000,2024-03-14 13:15:40,347.0,7.0,292.0,41.0,253.0,69.0,193.0,1438.0,A framework for Privacy Preserving Machine Learning.,35.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],34.0,33.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,331.0,331.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +558,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-10-19 08:20:16.000000,2023-02-08 02:25:50,604.0,,204.0,54.0,460.0,143.0,293.0,1181.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,False,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],74.0,65.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,836.0,836.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +559,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-02-06 13:53:10.000000,2023-12-24 06:07:13,78.0,2.0,226.0,20.0,18.0,5.0,87.0,1167.0,Implementation of the node2vec algorithm.,13.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,590.0,569.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,21.0,94078.0,94468.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,27336.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +560,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223.0,73.0,415.0,75.0,147.0,1148.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,171.0,161.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,10.0,376.0,376.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +561,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-02-12 12:03:03.000000,2019-08-16 09:00:15,140.0,,109.0,12.0,21.0,17.0,15.0,1055.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,24,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,5128.0,4824.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,304.0,394619.0,394619.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +562,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,173.0,48.0,112.0,52.0,170.0,964.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,337.0,287.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,50.0,721.0,721.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +563,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,177.0,40.0,173.0,60.0,174.0,921.0,A Jupyter - Three.js bridge.,30.0,24,False,2022-08-31 09:02:38.000,2.4.1,18.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],30.0,30.0,https://pypi.org/project/pythreejs,,,75102.0,84105.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,524005.0,,3.0,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,,,3429.0,,,,,,,,,,,,,, +564,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-02-01 14:51:21.000000,2024-02-01 14:45:49,245.0,8.0,106.0,15.0,41.0,35.0,27.0,813.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,24,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,562.0,547.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,15.0,40297.0,50643.0,,,,,3.0,413876.0,,,,,,,,,,,,,,,,,,,,,, +565,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-03-11 18:58:03.000000,2024-03-11 18:51:35,290.0,14.0,248.0,46.0,18.0,9.0,91.0,805.0,Data compression in TensorFlow.,21.0,24,True,2024-03-11 18:58:03.000,2.16.0,25.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,12613.0,12613.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +566,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,150.0,25.0,154.0,79.0,137.0,761.0,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],51.0,4.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,44.0,5696.0,10493.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,311064.0,,3.0,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,3.0,1004.0,,,,,,,,,,,,,, +567,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-03-05 13:03:08.000000,2024-03-05 13:03:07,598.0,4.0,128.0,16.0,57.0,32.0,123.0,751.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,34.0,24,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],45.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,45.0,13268.0,15248.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-12-29 00:14:59.843,91096.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +568,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,158.0,34.0,25.0,34.0,236.0,739.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,181.0,168.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,13.0,3257.0,3257.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +569,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,76.0,13.0,48.0,22.0,53.0,714.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,24,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,1409.0,1380.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,29.0,345273.0,345451.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,5166.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +570,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-03-07 03:49:45.000000,2024-03-07 03:49:45,400.0,2.0,155.0,17.0,72.0,35.0,108.0,684.0,Ternary plotting library for python with matplotlib.,27.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,192.0,165.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,27.0,56970.0,57805.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,79411.0,,3.0,25.0,,,,,,,,,,,,,,,,,,,,,, +571,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138.0,132.0,91.0,43.0,67.0,649.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],205.0,190.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,15.0,16754.0,16754.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +572,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-02-10 13:12:00.000000,2024-02-10 13:11:04,343.0,23.0,85.0,7.0,19.0,1.0,85.0,531.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,17.0,24,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,67.0,65.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,12291.0,12291.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +573,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,507.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],4415.0,4249.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,166.0,2322001.0,2331582.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,891049.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +574,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,1.0,84.0,29.0,318.0,75.0,27.0,364.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,24,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],367.0,360.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,39893.0,39893.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +575,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2024-01-23 18:30:32.000000,2024-01-23 18:30:25,598.0,2.0,736.0,105.0,588.0,105.0,345.0,5804.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,58.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,18598.0,18598.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +576,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-03-03 01:46:55.000000,2024-03-03 01:31:19,1096.0,2.0,881.0,117.0,675.0,238.0,542.0,5404.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,116.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],18.0,17.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,943.0,943.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +577,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-03-11 13:23:02.000000,2024-03-11 13:23:01,3347.0,3.0,820.0,232.0,110.0,57.0,620.0,4857.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,23,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,22.0,,,,,3.0,1504.0,,,,,,,,,,,,,,,,,,,,,, +578,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-02-14 12:21:00.000000,2022-08-09 13:26:32,565.0,,1310.0,305.0,209.0,66.0,211.0,4669.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,23,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1837.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,3.0,,,,,,,,,,2020-09-03 13:00:35.801133,8.0,143306.0,,,,,,,,,,, +579,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-01-13 08:14:49.000000,2022-07-29 10:37:24,205.0,,1001.0,93.0,63.0,253.0,269.0,4569.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,False,2020-01-10 11:28:38.000,1.0.1,4.0,segmentation_models,,,,['tensorflow'],,,https://pypi.org/project/segmentation_models,,,21106.0,21106.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +580,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-03-12 11:21:52.000000,2021-06-02 09:45:13,150.0,,718.0,101.0,35.0,103.0,113.0,4450.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,False,2020-01-08 15:35:45.000,2.2.0,1.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],123.0,123.0,https://pypi.org/project/ISR,,,5394.0,5397.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,3.0,,,,,,,,,,2019-04-01 13:48:45.697251,1.0,234.0,,,,,,,,,,, +581,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,824.0,330.0,89.0,91.0,306.0,3868.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,156.0,179.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1889.0,,3.0,384.0,,,,,,,,,,,,,,,,,,,,,, +582,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,529.0,175.0,50.0,65.0,49.0,3475.0,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],59.0,56.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,3.0,117.0,117.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +583,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,6.0,324.0,53.0,414.0,79.0,106.0,3208.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,23,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],35.0,34.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,226.0,226.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +584,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,221.0,55.0,36.0,74.0,122.0,3103.0,A GUI for Pandas DataFrames.,15.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],360.0,355.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,3549.0,4102.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,21040.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +585,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,236.0,43.0,110.0,80.0,64.0,2857.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,9806.0,9808.0,,,,,3.0,121.0,,,,,,,,,,,,,,,,,,,,,, +586,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-03-13 21:11:32.000000,2024-03-13 21:09:44,767.0,2.0,362.0,92.0,548.0,144.0,92.0,2739.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,23,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,9.0,30877.0,30877.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +587,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,441.0,65.0,122.0,32.0,350.0,2377.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],64.0,62.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,96.0,96.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +588,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,302.0,67.0,78.0,64.0,68.0,2094.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],30.0,27.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1986.0,1986.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +589,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,669.0,82.0,48.0,24.0,64.0,2030.0,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,498.0,486.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,7960.0,7960.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +590,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,243.0,45.0,33.0,51.0,90.0,1915.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],165.0,165.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,3306.0,3306.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +591,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-01-30 11:59:18.000000,2024-01-30 11:58:43,345.0,9.0,341.0,42.0,68.0,161.0,95.0,1844.0,Super easy library for BERT based NLP models.,36.0,23,True,2024-01-30 11:59:18.000,2.0.25,71.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2024-01-30 11:59:18.000,2.0,1401.0,1401.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +592,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,45.0,14.0,57.0,35.0,1763.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,23,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",264.0,253.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,1608.0,1608.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +593,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-02-04 20:37:53.000000,2024-02-04 20:37:53,1083.0,10.0,264.0,33.0,38.0,24.0,176.0,1746.0,A library for graph deep learning research.,49.0,23,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,488.0,488.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +594,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,115.0,39.0,11.0,33.0,51.0,1609.0,"A fast, efficient universal vector embedding utility package.",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,347.0,335.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,12.0,2103.0,2103.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +595,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,259.0,50.0,312.0,99.0,17.0,1538.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,23,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],30.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,30.0,24461.0,24461.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +596,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-03-10 16:45:11.000000,2024-03-10 16:48:30,1193.0,24.0,118.0,28.0,68.0,2.0,29.0,1473.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,23,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,6801.0,6801.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,,,, +597,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-02-25 11:49:36.000000,2024-02-25 11:49:35,1255.0,44.0,111.0,32.0,159.0,71.0,140.0,1419.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",24.0,23,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,93.0,104.0,,,,,3.0,493.0,,,,,,,,,,,,,,,,,,,,,, +598,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-11-06 16:35:34.000000,2023-11-06 15:20:05,206.0,,311.0,50.0,43.0,,,1315.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,23,True,2020-09-13 21:05:45.000,0.8.4,1.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],436.0,436.0,https://pypi.org/project/keras-ocr,,,19961.0,42197.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,310.0,,3.0,933632.0,,,,,,,,,,,,,,,,,,,,,, +599,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,159.0,33.0,22.0,42.0,34.0,1265.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],62.0,61.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,566.0,566.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +600,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-02-07 11:53:44.000000,2023-12-09 21:53:10,773.0,,182.0,18.0,259.0,77.0,94.0,1249.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,23,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,60940.0,60940.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +601,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-03-02 12:24:45.000000,2023-10-17 15:42:30,833.0,,327.0,51.0,792.0,7.0,300.0,1199.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,23,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,2.0,1342.0,1342.0,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,,,, +602,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-03-13 15:41:43.000000,2024-03-10 13:42:56,543.0,45.0,126.0,21.0,254.0,11.0,127.0,1180.0,A standard framework for modelling Deep Learning Models for tabular data.,20.0,23,True,2024-01-15 12:17:19.000,1.1.0,12.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2024-01-15 02:46:25.000,2.0,3421.0,3421.0,,,,,1.0,24.0,,,,,,,,,,,,,,,,,,,,,, +603,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-11-17 11:03:05.000000,2023-11-17 10:59:26,412.0,,185.0,34.0,73.0,3.0,86.0,1032.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],217.0,208.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,4885.0,4885.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +604,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-01-08 07:04:51.000000,2023-03-29 07:39:45,85.0,,83.0,26.0,54.0,36.0,28.0,939.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,644.0,621.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,40167.0,41541.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,41233.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +605,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,149.0,23.0,46.0,15.0,82.0,906.0,kapre: Keras Audio Preprocessors.,13.0,23,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2384.0,2369.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,15.0,5507.0,5507.0,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,,,,, +606,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-08-14 23:20:14.000000,2023-03-06 07:52:05,311.0,,108.0,26.0,36.0,34.0,69.0,873.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],600.0,588.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,25186.0,25186.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +607,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,84.0,14.0,77.0,219.0,218.0,853.0,"Experiment tracking, ML developer tools.",29.0,23,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,94.0,94.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,5341.0,5341.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,, +608,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-02-03 15:37:34.000000,2023-12-07 19:31:40,331.0,,133.0,20.0,44.0,5.0,81.0,540.0,Medical image processing in Python.,18.0,23,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1812.0,1765.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,47.0,16476.0,17175.0,https://anaconda.org/conda-forge/medpy,2023-11-26 21:20:01.088,23077.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +609,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-02-05 23:14:28.000000,2024-01-24 01:39:16,963.0,8.0,174.0,24.0,830.0,105.0,387.0,524.0,MONAI Label is an intelligent open source image labeling and learning tool.,57.0,23,True,2023-10-18 15:08:49.000,0.8.0,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,1516.0,3825.0,,,,,3.0,73902.0,,,,,,,,,,,,,,,,,,,,,, +610,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-02-06 03:34:11.000000,2023-08-10 03:20:53,1214.0,,64.0,7.0,207.0,18.0,109.0,495.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,23,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],233.0,228.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,3082.0,3082.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +611,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,27.0,7.0,19.0,4.0,9.0,154.0,Get list of common stop words in various languages in Python.,8.0,23,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2291.0,2135.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,156.0,163663.0,163663.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +612,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-11-05 11:43:31.000000,2023-02-15 20:15:59,196.0,,545.0,83.0,37.0,59.0,26.0,10754.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,22,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,47.0,47.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,807.0,896.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2316.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +613,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606.0,145.0,1362.0,118.0,986.0,7982.0,Production infrastructure for machine learning at scale.,25.0,22,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,736.0,736.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +614,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1466.0,131.0,51.0,152.0,141.0,7699.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,22,False,2020-03-01 03:29:43.000,1.0,1.0,efficientnet-pytorch,,,,['pytorch'],1.0,1.0,https://pypi.org/project/efficientnet-pytorch,,,134834.0,212941.0,,,,,3.0,3749174.0,-5.0,,,,,,,,,,,,,,,,,,,,, +615,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2023-08-23 18:39:43.000000,2020-06-03 05:58:03,146.0,,1379.0,262.0,68.0,115.0,135.0,6271.0,Audio fingerprinting and recognition in Python.,23.0,22,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,24.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,84.0,84.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +616,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779.0,225.0,25.0,8.0,122.0,5321.0,Build Graph Nets in Tensorflow.,11.0,22,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],28.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,8.0,1302.0,1302.0,,,,,3.0,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,,,,, +617,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,1698.0,19.0,17.0,70.0,24.0,4955.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,26.0,26.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,3091.0,3091.0,,,,,3.0,,5.0,,,,,,,,,,,,,,,,,,,,, +618,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-03-14 04:03:27.000000,2024-03-11 18:26:55,1566.0,13.0,821.0,144.0,1474.0,326.0,398.0,4943.0,Simple and Distributed Machine Learning.,116.0,22,True,2023-11-27 21:27:39.000,1.0.2,42.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,2.0,2.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +619,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,737.0,138.0,43.0,131.0,98.0,4935.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,22,False,2020-02-03 01:07:00.000,2.0.0,12.0,textgenrnn,,,,['tensorflow'],1109.0,1109.0,https://pypi.org/project/textgenrnn,,,723.0,735.0,,,,,3.0,902.0,,,,,,,,,,,,,,,,,,,,,, +620,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2024-02-27 22:00:43.000000,2023-01-15 11:37:16,279.0,,903.0,114.0,100.0,148.0,347.0,4663.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,2.0,12981.0,12981.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +621,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:13.000000,2022-03-13 19:08:59,231.0,,322.0,74.0,37.0,95.0,74.0,4379.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:13.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,,,474.0,474.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +622,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2024-03-12 17:57:31.000000,2023-08-15 07:38:22,956.0,,542.0,167.0,46.0,37.0,28.0,4221.0,High-performance TensorFlow library for quantitative finance.,47.0,22,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,1235.0,1235.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +623,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,654.0,77.0,53.0,176.0,101.0,3367.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],7.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,7.0,3397.0,3406.0,,,,,3.0,553.0,,,,,,,,,,,,,,,,,,,,,, +624,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-01-01 21:29:17.000000,2024-01-01 21:13:34,684.0,1.0,497.0,214.0,16.0,24.0,4.0,3315.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2024-01-01 21:29:17.000,0.11.13,14.0,finmarketpy,,,,,12.0,12.0,https://pypi.org/project/finmarketpy,2024-01-01 21:29:17.000,,200.0,200.0,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,,,,, +625,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,379.0,208.0,9.0,6.0,16.0,3139.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],146.0,143.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,2481.0,2481.0,,,,,3.0,,,,google-deepmind/trfl,,,,,,,,,,,,,,,,,,, +626,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-02-23 01:59:10.000000,2021-05-06 12:10:38,127.0,,157.0,49.0,61.0,1.0,30.0,3006.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,48.0,48.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,396.0,451.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1431.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +627,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-03-08 14:22:37.000000,2024-01-21 06:34:10,937.0,2.0,173.0,20.0,77.0,93.0,170.0,2716.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,28.0,22,True,2023-03-03 01:24:36.000,1.0.0,3.0,ffcv,,,,,38.0,38.0,https://pypi.org/project/ffcv,,,639.0,639.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +628,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,132.0,29.0,200.0,16.0,73.0,2665.0,HiPlot makes understanding high dimensional data easy.,9.0,22,True,2021-11-04 14:24:43.000,0.1.32,35.0,hiplot,conda-forge/hiplot,,,,3.0,3.0,https://pypi.org/project/hiplot,,,17812.0,21417.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,176656.0,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,,, +629,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,401.0,131.0,136.0,52.0,128.0,2395.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,,,10.0,luminoth,,,,['tensorflow'],57.0,57.0,https://pypi.org/project/luminoth,,,1917.0,2082.0,,,,,3.0,12770.0,,,,,,,,,,,,,,,,,,,,,, +630,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,79.0,144.0,36.0,126.0,2381.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,43.0,43.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +631,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-03-12 17:14:35.000000,2024-03-12 17:14:35,536.0,4.0,196.0,41.0,118.0,55.0,126.0,2138.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,27.0,22,True,,,2.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,,,4560.0,4560.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +632,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-02-26 15:38:11.000000,2023-06-01 12:18:23,739.0,,309.0,43.0,44.0,85.0,56.0,2117.0,A modular active learning framework for Python.,20.0,22,True,,,13.0,modAL,,,,['sklearn'],,,https://pypi.org/project/modAL,,,274887.0,274887.0,,,,,3.0,31.0,-4.0,,,,,,,,,,,,,,,,,,,,, +633,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-01-30 02:43:49.000000,2023-08-10 17:09:47,309.0,,157.0,24.0,33.0,30.0,31.0,1880.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,22,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],29.0,28.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,421.0,584.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4363.0,,3.0,82.0,,,,,,,,,,,,,,,,,,,,,, +634,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-01-18 18:33:20.000000,2024-01-16 17:27:35,27.0,1.0,105.0,38.0,30.0,27.0,78.0,1779.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,28.0,28.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,12246.0,12246.0,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,,,,, 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machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,9.0,2.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,7.0,680.0,680.0,,,,,3.0,44.0,,,,,,,,,,,,,,,,,,,,,, +637,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,288.0,46.0,800.0,71.0,485.0,1593.0,jiant is an nlp toolkit.,60.0,22,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,99.0,99.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +638,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,281.0,73.0,728.0,53.0,64.0,1571.0,An end-to-end PyTorch framework for image and video classification.,77.0,22,True,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,778.0,1153.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18774.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +639,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,204.0,45.0,12.0,4.0,51.0,1560.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,22,False,,,,geffnet,,,,['pytorch'],216.0,216.0,https://pypi.org/project/geffnet,,,10433.0,10433.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +640,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-02-19 23:42:32.000000,2022-08-31 13:13:15,103.0,,83.0,41.0,15.0,8.0,27.0,1294.0,A Graph Neural Network Library in Jax.,17.0,22,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],158.0,145.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,13.0,13689.0,13836.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,4291.0,,3.0,,,,google-deepmind/jraph,,,,,,,,,,,,,,,,,,, +641,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,189.0,27.0,57.0,21.0,36.0,1263.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],160.0,155.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,461.0,461.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +642,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-03-13 23:24:09.000000,2023-12-06 23:22:36,184.0,,108.0,37.0,25.0,17.0,114.0,1168.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2023-12-06 23:27:18.000,2.1.6,79.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,6181.0,6181.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +643,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,215.0,66.0,29.0,31.0,12.0,1146.0,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,92.0,77.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,9990.0,9990.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +644,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-02-06 06:41:55.000000,2023-07-16 15:16:10,420.0,,147.0,93.0,118.0,33.0,45.0,1131.0,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,22,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,103.0,102.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,384.0,384.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +645,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2024-01-21 21:15:50.000000,2023-08-18 11:01:23,442.0,,210.0,54.0,86.0,64.0,206.0,1015.0,Line based ATR Engine based on OCRopy.,20.0,22,True,2023-08-18 11:50:18.000,1.0.6,41.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,1688.0,1688.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +646,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,110.0,51.0,98.0,41.0,51.0,1008.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],225.0,217.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,8.0,2644.0,2644.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +647,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,135.0,25.0,594.0,63.0,511.0,838.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,False,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3480.0,3480.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +648,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-12-29 17:18:10.000000,2023-12-02 22:09:25,222.0,,83.0,19.0,153.0,24.0,83.0,826.0,Library to enable Bayesian active learning in your research or labeling work.,21.0,22,True,2023-10-02 19:58:51.000,1.9.1,19.0,baal,conda-forge/baal,,,,54.0,53.0,https://pypi.org/project/baal,2023-10-02 19:57:48.000,1.0,1080.0,1285.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,7798.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +649,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,102.0,29.0,60.0,22.0,74.0,822.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,386.0,382.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,3703.0,3703.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +650,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-02-05 16:21:42.000000,2023-11-24 10:43:28,313.0,,129.0,20.0,74.0,5.0,64.0,815.0,An intuitive library to extract features from time series.,18.0,22,True,2023-08-23 07:53:53.000,0.1.6,11.0,tsfel,,,,,119.0,119.0,https://pypi.org/project/tsfel,2023-08-22 10:46:05.000,,23400.0,23400.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +651,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,2.0,78.0,26.0,162.0,51.0,62.0,757.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,22,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],53.0,49.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,591.0,591.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +652,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,126.0,30.0,29.0,21.0,34.0,756.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,22,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],45.0,43.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,1526.0,1526.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +653,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-03-04 13:42:02.000000,2024-03-04 13:42:01,1154.0,29.0,123.0,30.0,971.0,37.0,50.0,755.0,Machine learning framework for both deep learning and traditional algorithms.,36.0,22,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,301.0,301.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +654,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,26.0,37.0,25.0,21.0,735.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,26.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,26.0,72391.0,72391.0,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,,,, +655,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,38.0,684.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,406.0,399.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,7.0,15948.0,16003.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1887.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +656,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-09-19 18:44:18.000000,2023-09-19 18:44:18,355.0,,118.0,19.0,78.0,24.0,33.0,666.0,Working with molecular structures in pandas DataFrames.,15.0,22,True,2023-08-28 15:31:05.000,0.5.1de,20.0,biopandas,conda-forge/biopandas,,,['pandas'],257.0,234.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,81809.0,83523.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,149142.0,,3.0,,,,BioPandas/biopandas,,,,,,,,,,,,,,,,,,, +657,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,26.0,433.0,10.0,237.0,631.0,torchbearer: A model fitting library for PyTorch.,14.0,22,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],90.0,86.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,758.0,758.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +658,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,111.0,27.0,23.0,57.0,35.0,598.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,433.0,411.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,22.0,10928.0,11399.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,18386.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +659,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2023-11-18 04:12:38.000000,2021-01-30 21:50:02,249.0,,130.0,23.0,19.0,8.0,29.0,581.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],146.0,141.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,12303.0,12303.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +660,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2024-03-03 23:08:51.000000,2023-12-29 21:08:41,477.0,30.0,57.0,26.0,9.0,14.0,34.0,517.0,Active Learning for Text Classification in Python.,6.0,22,True,2023-12-29 21:23:01.000,1.3.3,20.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",27.0,27.0,https://pypi.org/project/small-text,2023-12-29 21:17:11.000,,513.0,778.0,https://anaconda.org/conda-forge/small-text,2023-12-29 21:40:00.838,5310.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +661,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-03-09 11:59:05.000000,2023-03-05 00:16:57,419.0,,99.0,36.0,276.0,70.0,173.0,465.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,76.0,74.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,2165.0,2168.0,,,,,3.0,299.0,,,,,,,,,,,,,,,,,,,,,, +662,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,,52.0,24.0,231.0,57.0,195.0,378.0,Studio: Simplify and expedite model building process.,24.0,22,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,1208.0,1208.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +663,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,2.0,48.0,17.0,2.0,9.0,3.0,370.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,505.0,503.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,2.0,14558.0,14558.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +664,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2023-11-16 02:24:03.000000,2023-11-16 02:17:17,251.0,,27.0,8.0,4.0,21.0,60.0,285.0,Multiple Imputation with LightGBM in Python.,6.0,22,False,2023-11-16 02:24:03.000,5.7.0,45.0,miceforest,conda-forge/miceforest,,,,125.0,120.0,https://pypi.org/project/miceforest,2023-11-16 02:24:03.000,5.0,26072.0,26442.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,11858.0,,2.0,,,,,,,,,,,,,,,,,,,,,,, +665,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,,49.0,14.0,712.0,217.0,204.0,278.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,22,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,107.0,99.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,858.0,858.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +666,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,13.0,9.0,4.0,12.0,229.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1056.0,1010.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,46.0,94848.0,96235.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,56883.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +667,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-28 10:19:07.000000,2023-10-28 10:19:07,763.0,,647.0,94.0,150.0,98.0,103.0,8347.0,The user analytics platform for LLMs.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,1043.0,1043.0,,,,,3.0,,,,nebuly-ai/nebuly,,,,,,,,,,,,,,,,,,, +668,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,166.0,120.0,22.0,112.0,2926.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,265.0,265.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +669,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,74.0,2.0,18.0,7.0,2904.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],196.0,188.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,8.0,1240.0,1240.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +670,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,196.0,30.0,423.0,11.0,163.0,1652.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,82.0,82.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +671,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2023-04-10 08:32:30.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,6.0,15.0,33.0,1635.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],55.0,49.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,2773.0,2773.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +672,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-03-13 07:44:20.000000,2020-12-17 06:57:15,932.0,,294.0,67.0,201.0,5.0,74.0,1581.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,65.0,291.0,,,,https://hub.docker.com/r/zh794390558/delta,3.0,,,,,,,,,,2021-08-03 14:50:00.516864,,13117.0,,,,,,,,,,, +673,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,140.0,102.0,150.0,21.0,20.0,1551.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,22.0,21.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,1.0,1341.0,1341.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +674,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-01-29 06:34:18.000000,2024-01-29 06:20:56,908.0,2.0,208.0,57.0,52.0,74.0,149.0,1533.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,36.0,21,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,368.0,399.0,,,,,3.0,2756.0,,,,,,,,,,,,,,,,,,,,,, +675,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,358.0,62.0,47.0,37.0,72.0,1474.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],38.0,32.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,352.0,352.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +676,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,66.0,51.0,23.0,75.0,1468.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,438.0,438.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +677,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,399.0,102.0,36.0,11.0,24.0,1419.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,21,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,202.0,202.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +678,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,220.0,64.0,48.0,36.0,90.0,1249.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],37.0,34.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,441.0,441.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +679,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,170.0,32.0,86.0,15.0,32.0,1229.0,"A program for financial portfolio management, analysis and optimisation.",7.0,21,True,,,14.0,FinQuant,,,,,88.0,88.0,https://pypi.org/project/FinQuant,,,486.0,486.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +680,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208.0,28.0,61.0,54.0,60.0,1059.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,129.0,119.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,10.0,610.0,615.0,,,,,3.0,598.0,,,,,,,,,,,,,,,,,,,,,, +681,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,251.0,48.0,46.0,26.0,127.0,1048.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,212.0,212.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +682,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:55:38.000000,2024-02-13 05:55:37,305.0,2.0,89.0,19.0,73.0,18.0,44.0,940.0,Audio processing by using pytorch 1D convolution network.,15.0,21,True,2020-11-08 10:18:26.000,0.2.0,2.0,nnAudio,,,,,161.0,161.0,https://pypi.org/project/nnAudio,,,10342.0,10342.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +683,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,76.0,6.0,5.0,2.0,23.0,820.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,False,2021-10-03 18:24:15.000,0.1.7,3.0,iterative-stratification,,,,['sklearn'],414.0,414.0,https://pypi.org/project/iterative-stratification,,,22587.0,22587.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +684,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,160.0,38.0,46.0,43.0,49.0,788.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,99.0,90.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,379.0,379.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +685,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,107.0,30.0,1.0,13.0,3.0,634.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",616.0,608.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,8.0,19065.0,19065.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +686,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,53.0,30.0,12.0,11.0,15.0,632.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,232.0,178.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,54.0,8660.0,8660.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +687,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,302.0,596.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,61.0,60.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,216.0,216.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +688,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,29.0,31.0,5.0,24.0,561.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,49.0,47.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1827.0,1827.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +689,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,97.0,15.0,53.0,13.0,15.0,552.0,A library of metrics for evaluating recommender systems.,20.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,50.0,50.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,16119.0,16119.0,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,, +690,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2023-06-16 16:14:43.440000,2021-12-19 09:41:43,133.0,,55.0,11.0,20.0,13.0,37.0,530.0,Joyplots in Python with matplotlib & pandas.,6.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,363.0,354.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,11383.0,11795.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,24746.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +691,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-11-17 16:30:15.000000,2021-11-18 21:06:54,172.0,,46.0,10.0,9.0,11.0,21.0,486.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,21,False,2023-11-17 16:33:58.000,0.6.1,2.0,apricot-select,,,,,98.0,98.0,https://pypi.org/project/apricot-select,,,4819.0,4819.0,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,,,,, +692,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-12-15 16:29:56.000000,2023-12-15 16:28:41,2274.0,,41.0,12.0,11.0,9.0,52.0,486.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,21,True,2023-11-01 10:40:28.000,4.6.0,75.0,hyperactive,,,,,32.0,27.0,https://pypi.org/project/hyperactive,2023-10-24 14:03:36.000,5.0,2472.0,2474.0,,,,,3.0,132.0,,,,,,,,,,,,,,,,,,,,,, +693,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-02-04 00:13:12.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,223.0,15.0,40.0,481.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,21,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,14790.0,14793.0,,,,,3.0,145.0,,,,,,,,,,,,,,,,,,,,,, +694,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-03-14 13:17:21.000000,2024-03-01 10:56:06,1714.0,25.0,68.0,7.0,209.0,46.0,80.0,480.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,19.0,21,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,24.0,23.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,979.0,985.0,,,,,3.0,150.0,,,,,,,,,,,,,,,,,,,,,, +695,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,106.0,20.0,57.0,26.0,21.0,475.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,21,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,68.0,60.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,2217.0,2217.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +696,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-12-26 14:50:12.000000,2023-12-26 14:50:08,383.0,19.0,97.0,18.0,9.0,5.0,40.0,435.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,21,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,52.0,52.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,2645.0,2645.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +697,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,12.0,48.0,49.0,415.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,127.0,113.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,4329.0,4329.0,,,,,3.0,90.0,,,,,,,,,,,,,,,,,,,,,, +698,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-03-14 14:04:09.000000,2024-03-05 20:07:54,5600.0,18.0,92.0,15.0,744.0,28.0,436.0,409.0,Lightwood is Legos for Machine Learning.,45.0,21,False,2024-01-10 21:22:19.000,23.12.4.0,202.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,2023-12-25 13:15:52.000,2.0,5067.0,5067.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +699,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-01-15 10:30:51.000000,2024-01-15 10:30:46,5151.0,73.0,38.0,13.0,1.0,2.0,80.0,401.0,Deep Learning PyTorch.,1.0,21,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,430.0,430.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +700,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,27.0,10.0,9.0,2.0,9.0,398.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],1125.0,1119.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,248034.0,248034.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +701,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-03-01 01:43:30.000000,2024-02-01 02:10:41,658.0,6.0,60.0,30.0,447.0,11.0,91.0,369.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,21,True,2023-07-18 13:09:18.000,4.0.0,28.0,vega,conda-forge/vega,,,['jupyter'],4.0,4.0,https://pypi.org/project/vega,,,23892.0,30093.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,576705.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +702,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,48.0,11.0,37.0,28.0,37.0,345.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,226.0,219.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,7.0,2799.0,2799.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +703,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,33.0,18.0,6.0,18.0,21.0,305.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],90.0,89.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,1815.0,1815.0,,,,,3.0,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,,,,, +704,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2024-03-08 20:29:51.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,287.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,315733.0,315733.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +705,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-03-13 18:10:29.000000,2024-03-12 15:01:29,707.0,50.0,22.0,4.0,269.0,1.0,,281.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,11.0,21,False,2023-09-08 15:06:42.000,1.1.186,81.0,upgini,,,,,6.0,6.0,https://pypi.org/project/upgini,,,12272.0,12272.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +706,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-03-12 14:08:22.000000,2024-03-12 14:08:21,647.0,24.0,10.0,22.0,335.0,42.0,79.0,281.0,Serverside scaling for Vega and Altair visualizations.,3.0,21,False,2024-02-26 13:16:08.000,1.6.5,71.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,3.0,,https://pypi.org/project/vegafusion-jupyter,2024-02-26 12:44:45.000,1.0,2334.0,6936.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-02-26 18:04:51.566,97873.0,,3.0,5063.0,,,hex-inc/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-02-26 12:50:57.225,2.0,330.0,,,,,,,,,,,,,, +707,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-01-18 11:58:52.000000,2024-01-18 11:58:51,626.0,5.0,68.0,28.0,31.0,30.0,113.0,259.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,12.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,12.0,1541.0,3603.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,83898.0,,3.0,1860.0,,,,,,,,,,,,,,,,,,,,,, +708,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,1.0,2184.0,147.0,89.0,240.0,286.0,12621.0,End-to-End Object Detection with Transformers.,27.0,20,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +709,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-12-22 07:27:57.000000,2023-10-19 02:11:57,190.0,,1100.0,97.0,48.0,368.0,281.0,6182.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,20,True,,,,pyslowfast,,,,['pytorch'],15.0,15.0,https://pypi.org/project/pyslowfast,,,19.0,19.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +710,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,87.0,180.0,108.0,161.0,3554.0,A high performance and generic framework for distributed DNN training.,21.0,20,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,42.0,65.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,3.0,,,,,,,,,,2020-03-03 02:33:23.358610,,1326.0,,,,,,,,,,, +711,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,97.0,16.0,53.0,17.0,3362.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,147.0,140.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,622.0,622.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +712,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,168.0,65.0,54.0,6.0,44.0,3081.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,216.0,216.0,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,,,,, +713,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,316.0,60.0,242.0,173.0,110.0,3053.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,6742.0,6755.0,,,,,3.0,673.0,,,,,,,,,,,,,,,,,,,,,, +714,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-02-27 15:19:24.000000,2021-06-15 18:41:51,22.0,,264.0,32.0,21.0,27.0,37.0,2978.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1669.0,1669.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +715,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,102.0,54.0,64.0,48.0,2913.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,806.0,806.0,,,,,3.0,,,,rhsimplex/image-match,,,,,,,,,,,,,,,,,,, +716,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,102.0,1000.0,94.0,260.0,2824.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +717,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827.0,86.0,30.0,45.0,80.0,2636.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,76.0,69.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,873.0,873.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +718,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,455.0,127.0,225.0,87.0,183.0,2299.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,76.0,76.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +719,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,252.0,54.0,35.0,15.0,105.0,2036.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:08:36.000,1.4.4,21.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,,,5230.0,5230.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +720,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,175.0,55.0,895.0,129.0,586.0,1886.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",50.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,18.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1019.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +721,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-01-21 21:25:55.000000,2024-01-21 21:25:55,370.0,1.0,143.0,17.0,70.0,17.0,38.0,1639.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,16.0,20,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],20.0,20.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,1412.0,1412.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +722,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,157.0,46.0,3.0,13.0,15.0,1531.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],24.0,24.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,1619.0,1619.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +723,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,40.0,13.0,14.0,9.0,1266.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,123.0,122.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,1.0,1850.0,1850.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +724,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,169.0,56.0,14.0,30.0,19.0,1012.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,184.0,172.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,461.0,701.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,8184.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +725,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-01-14 08:39:28.000000,2020-04-17 02:27:44,79.0,,131.0,25.0,76.0,43.0,36.0,1009.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,20,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,2.0,232314.0,232476.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7800.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +726,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1005.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],80.0,76.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,88.0,88.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +727,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-02-29 13:59:46.000000,2024-02-29 13:59:45,84.0,1.0,179.0,24.0,58.0,10.0,27.0,924.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",17.0,20,True,,,,saliency,,,,['tensorflow'],77.0,77.0,https://pypi.org/project/saliency,,,8936.0,8936.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +728,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,133.0,36.0,16.0,8.0,4.0,922.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3625.0,3613.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,12.0,600.0,600.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +729,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-02-21 01:44:13.000000,2024-02-01 21:38:56,330.0,1.0,161.0,29.0,110.0,67.0,56.0,876.0,Source code/webpage/demos for the What-If Tool.,20.0,20,True,2021-10-12 17:36:36.000,1.8.1,4.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,2.0,2.0,https://pypi.org/project/witwidget,,,3743.0,52649.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2137808.0,,3.0,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,,,1400.0,,,,,,,,,,,,,, +730,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,,129.0,18.0,24.0,27.0,39.0,809.0,python partial dependence plot toolbox.,7.0,20,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,23835.0,24191.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,19943.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +731,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-03-08 18:45:05.000000,2024-02-23 18:14:41,183.0,30.0,44.0,11.0,50.0,4.0,13.0,801.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",12.0,20,True,2024-02-23 18:15:40.000,1.1.1,29.0,uform,,,,['pytorch'],19.0,18.0,https://pypi.org/project/uform,2024-02-23 18:15:40.000,1.0,1050.0,1050.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +732,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,147.0,36.0,33.0,25.0,39.0,754.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,118.0,102.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,835.0,835.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +733,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,158.0,76.0,98.0,51.0,43.0,750.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,13382.0,13382.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +734,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-02-21 00:34:45.000000,2024-01-08 12:42:48,1503.0,1.0,79.0,35.0,651.0,22.0,118.0,695.0,Scikit-learn style model finetuning for NLP.,23.0,20,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,81.0,81.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +735,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-01-28 21:21:14.000000,2024-01-28 21:21:14,295.0,10.0,107.0,17.0,24.0,,85.0,664.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",12.0,20,True,2024-01-28 14:11:58.000,0.0.90,37.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-01-28 14:11:58.000,,5964.0,5964.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +736,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-03-13 05:15:59.000000,2024-01-15 01:52:35,490.0,2.0,106.0,32.0,557.0,191.0,245.0,664.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,20,True,2024-01-15 02:09:18.000,23.12.00,9.0,merlin-core,,,,,,,https://pypi.org/project/merlin-core,,,2833.0,2833.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +737,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,,2015-09-09 13:39:18.000,2023-12-06 04:45:55.894000,2018-12-04 14:43:25,32.0,,81.0,21.0,8.0,23.0,41.0,644.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,20,False,2018-01-15 18:11:51.000,0.9.0,8.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],412.0,412.0,https://pypi.org/project/pivottablejs,,,27794.0,27823.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2892.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +738,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,104.0,24.0,25.0,43.0,61.0,608.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],163.0,161.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1400.0,1509.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3607.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +739,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,93.0,27.0,32.0,29.0,6.0,586.0,machine learning with logical rules in Python.,19.0,20,False,2020-12-11 09:37:02.000,1.0.1,1.0,skope-rules,,,,['sklearn'],371.0,371.0,https://pypi.org/project/skope-rules,,,21096.0,21096.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +740,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,165.0,57.0,20.0,39.0,60.0,537.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,33.0,28.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,62.0,62.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +741,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,56.0,60.0,9.0,23.0,25.0,521.0,Python library assists deep learning on graphs.,18.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,90.0,89.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,390.0,390.0,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,, +742,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,81.0,20.0,247.0,10.0,23.0,400.0,A toolkit that streamlines and automates the generation of model cards.,22.0,20,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,24.0,23.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,2059.0,2059.0,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,,,, +743,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,59.0,8.0,12.0,11.0,18.0,364.0,TextAugment: Text Augmentation Library.,8.0,20,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,88.0,84.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4775.0,4776.0,,,,,3.0,64.0,,,,,,,,,,,,,,,,,,,,,, +744,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-10-24 10:20:08.000000,2023-02-01 10:38:52,3728.0,,61.0,27.0,110.0,33.0,184.0,363.0,scalable audio processing framework and server written in Python.,22.0,20,False,2023-01-03 17:34:09.000,1.1.3,6.0,TimeSide,,,,,17.0,17.0,https://pypi.org/project/TimeSide,,,96.0,96.0,,,,,3.0,,,,yomguy/TimeSide,,,,,,,,,,,,,,,,,,, +745,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,47.0,25.0,19.0,15.0,16.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],242.0,236.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,6.0,1806.0,1806.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +746,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-03-02 06:47:42.000000,2023-07-02 18:02:16,1462.0,,44.0,15.0,171.0,19.0,64.0,236.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,42.0,40.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,336.0,336.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +747,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2024-02-05 07:59:49.000000,2024-02-05 07:59:48,584.0,4.0,33.0,24.0,637.0,21.0,127.0,234.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,2453.0,2473.0,,,,,3.0,1003.0,,,,,,,,,,,,,,,,,,,,,, +748,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,424.0,410.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,1778.0,1782.0,,,,,3.0,369.0,,,,,,,,,,,,,,,,,,,,,, +749,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,,23.0,8.0,11.0,5.0,9.0,212.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,76.0,74.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,62034.0,62034.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +750,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-03-05 09:02:43.000000,2024-03-05 08:55:36,860.0,19.0,17.0,8.0,182.0,11.0,23.0,150.0,Toolkit for developing and maintaining ML models.,14.0,20,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,9373.0,9373.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +751,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-03-05 14:05:51.000000,2020-04-18 19:15:25,24.0,,1014.0,138.0,42.0,34.0,10.0,7785.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,19,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],40.0,38.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,1194.0,1194.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +752,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,362.0,86.0,4.0,3.0,18.0,2150.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,19,False,,,,pdftabextract,,,,,48.0,48.0,https://pypi.org/project/pdftabextract,,,451.0,451.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +753,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-08-26 21:36:44.000000,2023-08-26 20:55:56,106.0,,230.0,62.0,105.0,24.0,56.0,2102.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,19,True,2021-05-21 00:29:47.000,0.2,2.0,pycls,,,,['pytorch'],17.0,17.0,https://pypi.org/project/pycls,,,855.0,855.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +754,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,138.0,17.0,11.0,41.0,43.0,1041.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],124.0,119.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,2296.0,2296.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +755,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-02-10 16:41:21.000000,2024-02-10 16:41:20,438.0,2.0,187.0,61.0,7.0,13.0,29.0,1036.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,152.0,152.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +756,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-01-27 00:07:06.000000,2024-01-04 20:41:21,582.0,2.0,292.0,97.0,121.0,59.0,97.0,999.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,19,True,,,6.0,astroML,conda-forge/astroml,,,['sklearn'],,,https://pypi.org/project/astroML,,,1663.0,2199.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,42387.0,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,,, +757,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,171.0,18.0,42.0,22.0,59.0,881.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,7.0,robustness,conda-forge/robustness,,,,169.0,169.0,https://pypi.org/project/robustness,,,325.0,513.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,8085.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +758,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,15.0,24.0,58.0,69.0,846.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,98.0,97.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,495.0,495.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +759,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,226.0,31.0,38.0,40.0,21.0,832.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,5743.0,5743.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +760,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:15:43.000000,2024-01-16 09:12:58,32.0,3.0,80.0,14.0,35.0,2.0,23.0,791.0,Leave One Feature Out Importance.,6.0,19,True,2024-01-16 09:15:43.000,0.3.4,1.0,lofo-importance,,,,,27.0,27.0,https://pypi.org/project/lofo-importance,,,2948.0,2948.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +761,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,,68.0,22.0,47.0,11.0,17.0,757.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],20.0,18.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,2.0,697.0,1604.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,22697.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +762,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,137.0,25.0,19.0,20.0,5.0,735.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,19,False,,,1.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],607.0,607.0,https://pypi.org/project/treeinterpreter,,,45075.0,45234.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,6540.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +763,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-01-23 00:12:47.000000,2021-09-16 17:56:31,171.0,,143.0,34.0,81.0,14.0,55.0,612.0,Code for the TCAV ML interpretability project.,19.0,19,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],22.0,19.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,128.0,128.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +764,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,103.0,10.0,14.0,5.0,16.0,569.0,Make Waffle Charts in Python.,6.0,19,False,,,5.0,pywaffle,conda-forge/pywaffle,,,,331.0,331.0,https://pypi.org/project/pywaffle,,,5253.0,5435.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11500.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +765,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,13.0,22.0,562.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,35.0,31.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,335.0,335.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +766,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,,63.0,18.0,111.0,8.0,48.0,556.0,A simplified framework and utilities for PyTorch.,20.0,19,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],137.0,132.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,2800.0,2800.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +767,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,67.0,12.0,10.0,23.0,41.0,533.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,19,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,47.0,47.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,2888.0,2888.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +768,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-02-21 14:38:09.000000,2024-02-21 14:09:04,30.0,1.0,67.0,6.0,5.0,1.0,28.0,522.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,19,True,2024-02-21 14:38:09.000,0.2.7,5.0,shap-hypetune,,,,,15.0,15.0,https://pypi.org/project/shap-hypetune,,,1784.0,1784.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +769,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-12-03 19:05:32.000000,2023-12-03 19:05:16,320.0,,96.0,26.0,6.0,3.0,31.0,487.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,19,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,26.0,24.0,https://pypi.org/project/autoviml,2022-06-01 23:08:15.000,2.0,973.0,973.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +770,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-02-27 08:23:20.000000,2023-06-18 21:56:30,277.0,,79.0,14.0,127.0,17.0,136.0,466.0,A Python library for dynamic classifier and ensemble selection.,17.0,19,True,,,,deslib,,,,['sklearn'],45.0,45.0,https://pypi.org/project/deslib,,,1212.0,1212.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +771,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,31.0,17.0,148.0,39.0,66.0,463.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",43.0,43.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,302.0,302.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +772,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-02-08 01:27:56.000000,2023-01-13 21:57:34,832.0,,55.0,,,,,431.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,19,False,2024-02-08 01:27:56.000,0.12.1,49.0,sklearn-evaluation,,,,['sklearn'],5.0,,https://pypi.org/project/sklearn-evaluation,2024-02-08 01:27:56.000,5.0,2230.0,2230.0,,,,,3.0,,9.0,,,,,,,,,,,,,,,,,,,,, +773,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-02-14 13:20:04.000000,2024-02-14 13:19:04,813.0,3.0,23.0,7.0,70.0,26.0,21.0,352.0,Flexible time series feature extraction & processing.,6.0,19,True,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,12.0,12.0,https://pypi.org/project/tsflex,2022-10-11 21:38:11.312,,394.0,1028.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,20308.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +774,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-03-12 21:12:08.000000,2024-03-08 22:45:44,321.0,5.0,78.0,26.0,337.0,21.0,9.0,329.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,35.0,19,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2022-12-13 19:06:03.653,,2438.0,2438.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +775,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,20.0,20.0,464.0,90.0,76.0,229.0,Functional tensors for probabilistic programming.,11.0,19,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],73.0,66.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,7.0,5301.0,5301.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +776,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765.0,339.0,58.0,2.0,,6670.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,78.0,85.0,,,,,3.0,334.0,,,,,,,,,,,,,,,,,,,,,, +777,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,872.0,108.0,51.0,46.0,159.0,6192.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +778,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,11.0,988.0,120.0,24.0,12.0,352.0,4203.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,18,True,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +779,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,412.0,107.0,83.0,67.0,48.0,2936.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,105.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8541.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +780,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-03-13 13:54:36.000000,2024-03-12 15:12:12,667.0,27.0,387.0,37.0,796.0,149.0,111.0,2859.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,77.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +781,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,463.0,80.0,36.0,83.0,68.0,1672.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,174.0,174.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +782,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,25.0,1004.0,127.0,65.0,1641.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,454.0,454.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +783,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,176.0,22.0,20.0,16.0,30.0,1585.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,4.0,4.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,84.0,85.0,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,, +784,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,253.0,57.0,65.0,8.0,31.0,1364.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,38.0,38.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +785,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,19.0,42.0,6.0,18.0,593.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,12.0,11.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,180.0,49180.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2058000.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +786,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,138.0,58.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,19.0,19.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,132.0,132.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +787,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,,95.0,28.0,21.0,36.0,12.0,467.0,A python library for Bayesian time series modeling.,6.0,18,True,2023-05-07 06:30:08.000,0.1.1.12,1.0,pydlm,,,,,33.0,33.0,https://pypi.org/project/pydlm,,,23493.0,23493.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +788,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,24.0,19.0,5.0,20.0,453.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,105.0,105.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +789,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-02-20 23:25:19.000000,2024-01-10 08:10:55,2818.0,7.0,60.0,12.0,255.0,9.0,109.0,423.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,18,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,106.0,106.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +790,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,39.0,11.0,29.0,15.0,17.0,405.0,A python package for animating plots build on matplotlib.,7.0,18,False,2019-03-05 21:32:47.000,0.4.1,7.0,animatplot,conda-forge/animatplot,,,,58.0,58.0,https://pypi.org/project/animatplot,,,315.0,526.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12922.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +791,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-02-13 08:58:18.000000,2024-02-11 10:10:08,681.0,3.0,64.0,30.0,79.0,15.0,25.0,371.0,A Python implementation of active inference for Markov Decision Processes.,14.0,18,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,9.0,9.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,213.0,213.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +792,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,346.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,274.0,274.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +793,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,513.0,513.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +794,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51.0,11.0,60.0,17.0,41.0,329.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,38.0,34.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,216.0,216.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +795,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-12-12 01:10:32.000000,2023-11-27 22:11:53,398.0,,128.0,34.0,323.0,81.0,130.0,323.0,Brain Imaging Analysis Kit.,35.0,18,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,1.0,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,135.0,153.0,,,,https://hub.docker.com/r/brainiak/brainiak,3.0,,,,,,,,,,2020-10-15 21:11:03.379549,1.0,1815.0,,,,,,,,,,, +796,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-11-09 23:19:49.000000,2023-11-09 23:18:48,634.0,,42.0,13.0,63.0,4.0,56.0,314.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,471.0,471.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +797,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,22.0,239.0,24.0,25.0,300.0,Textpipe: clean and extract metadata from text.,29.0,18,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,140.0,140.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +798,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-12-04 13:11:50.000000,2023-12-04 13:11:50,418.0,,74.0,22.0,431.0,28.0,51.0,266.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,18,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,147.0,147.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +799,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,261.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,54.0,51.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,455.0,455.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +800,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2024-02-08 15:04:35.000000,2024-02-08 15:04:34,493.0,1.0,50.0,14.0,77.0,13.0,35.0,240.0,Represent trained machine learning models as Pyomo optimization formulations.,17.0,18,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,13434.0,13434.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +801,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-07-26 15:59:24.000000,2023-07-21 09:03:49,260.0,,31.0,12.0,197.0,19.0,74.0,190.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,18,False,2020-10-12 12:26:09.000,0.5.1,3.0,celer,,,,['sklearn'],34.0,34.0,https://pypi.org/project/celer,,,696.0,696.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +802,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,128.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,8974.0,8788.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,186.0,337830.0,337864.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1099.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +803,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1344.0,470.0,21.0,56.0,167.0,6990.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,3.0,,,,google-deepmind/lab,,,,,,,,,,,,,,,,,,, +804,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,29.0,982.0,103.0,28.0,27.0,355.0,3669.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,17,True,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +805,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,977.0,63.0,13.0,43.0,25.0,3557.0,Implementation and experiments of graph embedding algorithms.,9.0,17,False,,,,,,,,['sklearn'],32.0,32.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +806,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,256.0,52.0,13.0,20.0,13.0,1539.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,36.0,57.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,3.0,,,,,,,,,,2019-11-11 07:09:57.869705,,1687.0,,,,,,,,,,, +807,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,144.0,18.0,11.0,25.0,18.0,1156.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],52.0,50.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,255.0,255.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +808,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,88.0,35.0,72.0,25.0,30.0,1095.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,,,4049.0,4049.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +809,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,116.0,19.0,295.0,3.0,69.0,1048.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,17,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,25.0,25.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +810,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,110.0,21.0,37.0,20.0,8.0,1038.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,70.0,69.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,113.0,113.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +811,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,150.0,45.0,5.0,3.0,7.0,1032.0,XAI - An eXplainability toolbox for machine learning.,3.0,17,False,2021-10-30 06:35:19.000,0.1.0,1.0,xai,,,,,25.0,25.0,https://pypi.org/project/xai,,,225.0,225.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +812,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,13.0,13.0,8.0,16.0,748.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,15.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],31.0,31.0,https://pypi.org/project/tensor-sensor,,,2746.0,2844.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2847.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +813,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,58.0,15.0,10.0,26.0,17.0,745.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:51:53.000,1.2.7,8.0,parallelformers,,,,,47.0,47.0,https://pypi.org/project/parallelformers,,,522.0,522.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +814,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,111.0,19.0,58.0,2.0,13.0,741.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,True,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,4891.0,4891.0,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,,,,, +815,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,103.0,26.0,48.0,19.0,35.0,727.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,17,False,,,,matrixprofile-ts,,,,,25.0,25.0,https://pypi.org/project/matrixprofile-ts,,,265.0,265.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +816,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,18.0,21.0,29.0,50.0,672.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,50.0,50.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +817,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,92.0,18.0,19.0,3.0,29.0,625.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,12.0,12.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,165.0,165.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +818,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-12-21 13:50:16.000000,2023-12-21 13:50:13,819.0,4.0,38.0,15.0,18.0,,20.0,587.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,17,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,16.0,16.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,203.0,203.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +819,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,,2018-04-13 21:00:31.000,2024-03-10 17:17:37.000000,2024-02-29 14:50:28,67.0,3.0,52.0,18.0,9.0,12.0,9.0,485.0,Topological Data Analysis for Python.,6.0,17,False,2021-08-03 00:22:58.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],51.0,51.0,https://pypi.org/project/scikit-tda,,,3292.0,3292.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +820,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-03-11 13:58:40.000000,2024-03-08 15:55:07,138.0,3.0,41.0,20.0,168.0,4.0,64.0,452.0,A collection of tools for neural compression enthusiasts.,9.0,17,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,155.0,155.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +821,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-02-25 19:50:49.000000,2024-02-25 19:50:49,174.0,4.0,36.0,22.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,17,True,2016-12-23 10:46:31.000,0.3.3,10.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,,,54.0,54.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +822,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,,68.0,28.0,57.0,27.0,32.0,293.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:38:40.000,0.3.0,6.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,,,26.0,29.0,,,,,3.0,168.0,,,,,,,,,,,,,,,,,,,,,, +823,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,23.0,11.0,8.0,1.0,10.0,234.0,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,3.0,skift,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skift,,,1213.0,1213.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +824,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-06-15 16:53:56.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,59.0,29.0,47.0,233.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:11:31.000,0.2.8,6.0,skggm,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skggm,,,40.0,40.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +825,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,224.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,24.0,22.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,59.0,59.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +826,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-03-02 11:17:18.000000,2024-03-02 11:17:16,371.0,1.0,38.0,6.0,132.0,,35.0,224.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,1089.0,1200.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2889.0,,3.0,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,,,,, +827,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,5.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,17,False,,,23.0,parfit,,,,['sklearn'],27.0,27.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,4008.0,4008.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +828,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,539.0,177.0,110.0,54.0,149.0,3903.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +829,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,57.0,34.0,22.0,13.0,1265.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,97.0,97.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +830,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,56.0,18.0,7.0,1.0,10.0,795.0,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],75.0,74.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,3199.0,3199.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +831,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,171.0,33.0,15.0,18.0,22.0,783.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,16,False,,,,tffm,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/tffm,,,81.0,81.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +832,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,122.0,43.0,435.0,25.0,130.0,703.0,GPU accelerated signal processing.,46.0,16,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +833,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,100.0,25.0,101.0,37.0,84.0,701.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,135.0,141.0,,,,,3.0,412.0,,,,,,,,,,,,,,,,,,,,,, +834,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,1.0,87.0,25.0,4.0,38.0,42.0,685.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,16,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,139.0,139.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +835,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,98.0,39.0,106.0,12.0,51.0,550.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,93.0,96.0,,,,,3.0,221.0,,,vaticle/typedb-ml,,,,,,,,,,,,,,,,,,, +836,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-02-26 20:08:27.000000,2024-01-25 16:57:26,261.0,4.0,66.0,22.0,95.0,19.0,15.0,493.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,,,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,104.0,104.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +837,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,105.0,71.0,7.0,15.0,19.0,419.0,semantic similarity framework for knowledge graph.,10.0,16,True,,,,sematch,,,,,46.0,46.0,https://pypi.org/project/sematch,,,291.0,291.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +838,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,68.0,24.0,48.0,15.0,19.0,394.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,16,False,,,5.0,skrebate,conda-forge/skrebate,,,['sklearn'],,,https://pypi.org/project/skrebate,,,5851.0,6286.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,32244.0,,3.0,,-4.0,,,,,,,,,,,,,,,,,,,,, +839,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-03-01 15:54:36.000000,2024-01-15 19:35:42,191.0,3.0,51.0,10.0,17.0,10.0,29.0,380.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,16,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,1008.0,1008.0,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,,,,, +840,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,32.0,24.0,21.0,16.0,10.0,345.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,,pdvega,,,,,87.0,87.0,https://pypi.org/project/pdvega,,,96.0,96.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +841,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,71.0,19.0,93.0,25.0,18.0,313.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",,,https://pypi.org/project/pandas-ml,,,2281.0,2281.0,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,, +842,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2023-10-03 23:52:47.440000,2023-07-17 09:18:00,166.0,,40.0,19.0,2.0,10.0,7.0,279.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],8.0,8.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000,,302.0,4552.0,https://anaconda.org/conda-forge/deepgraph,2023-10-03 23:52:47.440,174262.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +843,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,12.0,8.0,2.0,,5.0,185.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,16,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,124.0,124.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +844,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,42.0,1.0,,,,182.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,866.0,866.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +845,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,14.0,54.0,16.0,50.0,136.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,56.0,51.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,46.0,46.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +846,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-01-09 19:00:03.000000,2024-01-09 18:05:38,305.0,3.0,9.0,5.0,3.0,1.0,,128.0,Data Analysis Baseline Library.,24.0,16,False,2023-02-28 01:21:03.335,0.2.5,17.0,dabl,,,,['sklearn'],1.0,,https://pypi.org/project/dabl,2024-01-09 18:32:27.000,1.0,4919.0,4919.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +847,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,28.0,53.0,7.0,7.0,104.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,16,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],41.0,41.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,113.0,113.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +848,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2024-03-05 07:28:52.000000,2024-03-05 04:43:01,3455.0,1.0,,6.0,,406.0,855.0,3.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,16,False,2024-03-05 10:02:36.000,0.1.0,15.0,analytics-zoo,,,,['spark'],,,https://pypi.org/project/analytics-zoo,,,2804.0,2804.0,,,,,3.0,,-6.0,,,,,,,,,,,,,,,,,,,,, +849,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,141.0,28.0,217.0,102.0,2871.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,12.0,12.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +850,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,423.0,143.0,72.0,12.0,53.0,2196.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +851,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,167.0,61.0,10.0,26.0,6.0,1836.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,15,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,18.0,18.0,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,,,,, +852,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,5.0,482.0,68.0,26.0,5.0,97.0,1668.0,An Open-Source Package for Network Embedding (NE).,12.0,15,True,,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +853,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-01-23 02:21:18.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,21.0,42.0,85.0,1258.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +854,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,217.0,40.0,40.0,60.0,34.0,1117.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +855,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-02-27 22:17:46.000000,2024-02-05 15:11:35,743.0,2.0,118.0,28.0,111.0,13.0,24.0,1061.0,An autoML framework & toolkit for machine learning on graphs.,15.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,5.0,5.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +856,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121.0,50.0,21.0,15.0,9.0,829.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,55.0,55.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +857,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,196.0,43.0,667.0,28.0,27.0,810.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,12.0,12.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +858,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,112.0,27.0,10.0,24.0,51.0,780.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,False,,,,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,,,3963.0,3963.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +859,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,88.0,17.0,15.0,10.0,22.0,719.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],16.0,16.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,139.0,139.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +860,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,39.0,26.0,4.0,4.0,2.0,672.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,119.0,119.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +861,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,52.0,17.0,83.0,18.0,49.0,568.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,41.0,41.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +862,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,88.0,21.0,18.0,22.0,2.0,506.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,11.0,11.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,238.0,238.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +863,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-03-12 17:18:39.000000,2024-03-12 17:18:39,77.0,3.0,58.0,17.0,62.0,7.0,9.0,439.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,9.0,9.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,136.0,136.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +864,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,406.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,12.0,12.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +865,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,16.0,39.0,2.0,13.0,396.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,113.0,113.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +866,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,4.0,66.0,20.0,177.0,87.0,16.0,395.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,15,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,82.0,82.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +867,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,56.0,19.0,6.0,6.0,,391.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,10.0,9.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,20.0,155.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5942.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +868,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,39.0,12.0,17.0,2.0,5.0,371.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,477.0,477.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +869,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,305.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,152.0,152.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +870,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,19.0,13.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,508.0,508.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +871,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,17.0,7.0,2.0,13.0,230.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,6.0,5.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,168.0,168.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +872,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,18.0,5.0,2.0,16.0,23.0,188.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,15,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],11.0,11.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,682.0,682.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +873,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-09-19 07:41:06.631000,2022-12-07 10:32:49,237.0,,13.0,1.0,1.0,,,44.0,Feature engineering package with sklearn like functionality.,38.0,15,False,,,19.0,feature_engine,conda-forge/feature_engine,,,,,,https://pypi.org/project/feature_engine,,,140222.0,141261.0,https://anaconda.org/conda-forge/feature_engine,2023-09-19 07:41:06.631,44686.0,,3.0,,-8.0,,,,,,,,,,,,,,,,,,,,, +874,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,818.0,78.0,34.0,116.0,59.0,3267.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +875,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,149.0,32.0,,53.0,59.0,1183.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,False,,,4.0,,milagraph/graphvite,,,,,,,,,,85.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4690.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, +876,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,36.0,12.0,8.0,9.0,3.0,334.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1323.0,1323.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +877,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,11.0,16.0,14.0,5.0,4.0,239.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,14,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,2.0,2.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,222.0,222.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +878,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,32.0,8.0,72.0,31.0,8.0,230.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,67.0,67.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +879,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,484.0,110.0,12.0,39.0,8.0,2677.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +880,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,78.0,47.0,4.0,3.0,,2445.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1441.0,1443.0,,,,,3.0,56.0,,,,,,,,,,,,,,,,,,,,,, +881,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,175.0,38.0,10.0,13.0,3.0,1340.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +882,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-01-29 19:20:57.000000,2024-01-29 19:20:57,64.0,1.0,42.0,11.0,8.0,2.0,12.0,682.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,121.0,121.0,https://pypi.org/project/rliable`,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +883,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53,465.0,,18.0,12.0,57.0,4.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,72.0,72.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +884,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-03-14 13:42:48.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,254.0,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,417.0,423.0,,,,https://hub.docker.com/r/enliteai/maze,3.0,4.0,,,,,,,,,2021-06-24 21:00:27.801118,,242.0,,,,,,,,,,, +885,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,8.0,8.0,243.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,49.0,49.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +886,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,27.0,22.0,44.0,1.0,5.0,199.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,161.0,161.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +887,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-03-14 12:42:18.000000,2024-03-14 12:42:18,131.0,86.0,4.0,5.0,10.0,2.0,5.0,137.0,A Jax-based library for designing and training transformer models from scratch.,2.0,13,False,,,4.0,nanodl,,,,['jax'],,,https://pypi.org/project/nanodl,2024-03-12 09:51:10.000,,219.0,219.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +888,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,34.0,14.0,18.0,27.0,16.0,121.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,25.0,25.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +889,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-02-28 09:09:14.000000,2023-11-24 19:47:45,314.0,,7.0,7.0,126.0,7.0,9.0,105.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2023-11-24 19:49:33.000,0.2.7,9.0,,,,,['jax'],4.0,4.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +890,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12.0,7.0,20.0,3.0,,50.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,31.0,31.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,62.0,62.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +891,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,,,2024-03-08 13:19:00.000000,,,,,,,,,,Supercharging Machine Learning.,,13,False,2024-03-08 13:19:00.000,3.39.0,279.0,comet_ml,comet_ml,,,,67.0,,https://pypi.org/project/comet_ml,2024-03-08 13:19:00.000,67.0,160810.0,160810.0,https://anaconda.org/anaconda/comet_ml,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +892,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-02-27 20:40:26.000000,2022-02-09 22:20:11,9.0,,455.0,94.0,19.0,52.0,15.0,3260.0,AutoML algorithms for model architecture search at scale.,1.0,12,False,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +893,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,402.0,62.0,6.0,62.0,17.0,1813.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +894,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,312.0,88.0,11.0,12.0,6.0,1690.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +895,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,53.0,17.0,3.0,2.0,1.0,525.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,92.0,92.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +896,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,11.0,15.0,6.0,4.0,221.0,Draw interactive NetworkX graphs with Altair.,3.0,12,False,,,,nx-altair,,,,['jupyter'],,,https://pypi.org/project/nx-altair,,,927.0,927.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +897,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-01-09 14:26:49.000000,2024-01-09 14:26:42,74.0,1.0,26.0,8.0,16.0,4.0,6.0,191.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,12,False,2019-09-12 07:41:04.000,2.0,1.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,,,31.0,31.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +898,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,12,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,41.0,51.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,3.0,,,,,,,,,,2019-04-09 10:15:09.532793,,661.0,,,,,,,,,,, +899,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,1.0,13.0,13.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,96.0,96.0,,,,,3.0,,,,genixpro/hypermax,,,,,,,,,,,,,,,,,,, +900,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,5.0,14.0,98.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,853.0,853.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +901,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,11.0,13.0,26.0,4.0,13.0,85.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,66.0,66.0,,,,,3.0,,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,,,,, +902,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,84.0,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,73.0,73.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +903,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112.0,47.0,13.0,7.0,20.0,949.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +904,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,145.0,39.0,7.0,15.0,14.0,914.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +905,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,25.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,38.0,38.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +906,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,118.0,Tools for training explainable models using attribution priors.,6.0,11,False,2021-03-16 17:47:18.000,1.0.0,1.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,,,40.0,40.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +907,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:29:56.000000,2024-02-04 11:28:34,124.0,2.0,11.0,12.0,17.0,,,42.0,,4.0,11,False,2024-02-04 11:29:56.000,0.0.13,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,,,148.0,148.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +908,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,81.0,17.0,5.0,3.0,12.0,561.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +909,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,49.0,14.0,13.0,9.0,11.0,493.0,Library for Textless Spoken Language Processing.,8.0,10,True,,,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +910,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,20.0,12.0,41.0,7.0,12.0,365.0,A library for distributed ML training with PyTorch.,6.0,10,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +911,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,10,False,,,,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,,,133.0,133.0,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,,, +912,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,10.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,26.0,26.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +913,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,34.0,34.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +914,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,139.0,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,18.0,18.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +915,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,5.0,7.0,,1.0,,62.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,25.0,25.0,https://anaconda.org/conda-forge/tslumen,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +916,Skater,oracle/Skater,interpretability,,,{},,2020-07-05 18:35:27.012,2023-09-18 15:13:22.392000,,,,,,,,,,Python Library for Model Agnostic Interpretation.,,5,False,,,2.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,,,613.0,2056.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,63527.0,,3.0,,,,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index bda2769..6c650fb 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- triton (πŸ₯‡43 Β· ⭐ 10K Β· πŸ“ˆ) - Development repository for the Triton language and compiler. MIT -- Milvus (πŸ₯‡41 Β· ⭐ 26K Β· πŸ“ˆ) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- spark-nlp (πŸ₯‡36 Β· ⭐ 3.6K Β· πŸ“ˆ) - State of the Art Natural Language Processing. Apache-2 -- huggingface_hub (πŸ₯ˆ36 Β· ⭐ 1.6K Β· πŸ“ˆ) - The official Python client for the Huggingface Hub. Apache-2 -- torchtext (πŸ₯ˆ34 Β· ⭐ 3.4K Β· πŸ“ˆ) - Models, data loaders and abstractions for language.. BSD-3 -- CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT -- Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.7K Β· πŸ“ˆ) - Neural Network Libraries. Apache-2 -- polyglot (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 -- modAL (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - A modular active learning framework for Python. MIT -- backprop (πŸ₯‰14 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 +- PySpark (πŸ₯‡45 Β· ⭐ 38K Β· πŸ“ˆ) - Apache Spark Python API. Apache-2 +- PyFlink (πŸ₯ˆ38 Β· ⭐ 23K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 +- Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ“ˆ) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +- ivy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 +- UMAP (πŸ₯ˆ32 Β· ⭐ 6.8K Β· πŸ“ˆ) - Uniform Manifold Approximation and Projection. BSD-3 +- ftfy (πŸ₯ˆ32 Β· ⭐ 3.7K Β· πŸ“ˆ) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 +- langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - The friendly PIL fork. ❗️PIL +- DeepMatcher (πŸ₯‰22 Β· ⭐ 5K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 +- sklearn-evaluation (πŸ₯‰19 Β· ⭐ 430 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- torchvision (πŸ₯‡38 Β· ⭐ 15K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- Theano (πŸ₯ˆ34 Β· ⭐ 9.8K Β· πŸ“‰) - Theano was a Python library that allows you to define,.. ❗Unlicensed -- ivy (πŸ₯‰31 Β· ⭐ 14K Β· πŸ“‰) - The Unified AI Framework. ❗Unlicensed -- ftfy (πŸ₯ˆ28 Β· ⭐ 3.7K Β· πŸ“‰) - Fixes mojibake and other glitches in Unicode text, after the fact. ❗Unlicensed -- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed -- Pillow-SIMD (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - The friendly PIL fork. ❗️PIL -- OMLT (πŸ₯‰14 Β· ⭐ 240 Β· πŸ“‰) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed -- Headliner (πŸ₯‰11 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed -- sklearn-evaluation (πŸ₯‰10 Β· ⭐ 3 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT -- Skater (πŸ₯‰5 Β· πŸ“‰) - Python Library for Model Agnostic Interpretation. ❗Unlicensed +- Matplotlib (πŸ₯‡48 Β· ⭐ 19K Β· πŸ“‰) - matplotlib: plotting with Python. ❗Unlicensed +- pygal (πŸ₯ˆ24 Β· ⭐ 2.6K Β· πŸ“‰) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.7K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- HiPlot (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT +- modAL (πŸ₯‰22 Β· ⭐ 2.1K Β· πŸ’€) - A modular active learning framework for Python. MIT +- AstroML (πŸ₯‰19 Β· ⭐ 1K Β· πŸ“‰) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 +- scikit-rebate (πŸ₯‰16 Β· ⭐ 390 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT +- analytics-zoo (πŸ₯‰16 Β· ⭐ 3 Β· πŸ“‰) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 +- Feature Engine (πŸ₯‰15 Β· ⭐ 44 Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 +- nptsne (πŸ₯‰10 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2