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* Update MatchZoo-py

* Add toy resource to package

* Update CODEOWNERS

* Update README.md
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Chriskuei authored Aug 22, 2019
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24 changes: 12 additions & 12 deletions CODEOWNERS
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.codecov.yml @Chriskuei
.coveragerc @Chriskuei
.flake8 @Chriskuei
.gitignore @faneshion
.travis.yml @Chriskuei
CONTRIBUTING.MD @Chriskuei
Makefile @faneshion @Chriskuei
.gitignore @Chriskuei
.travis.yml @Chriskuei
CONTRIBUTING.MD @Chriskuei
Makefile @Chriskuei
pytest.ini @Chriskuei
README.md @faneshion @Chriskuei
readthedocs.yml @wqh17101
requirements.txt @faneshion @Chriskuei
setup.py @faneshion @Chriskuei
README.md @faneshion @Chriskuei
readthedocs.yml @wqh17101
requirements.txt @Chriskuei @faneshion
setup.py @Chriskuei @faneshion

# artworks
/artworks/ @faneshion

# tutorials
/tutorials/ @Chriskuei @faneshion
/tutorials/ @Chriskuei @faneshion @caiyinqiong

# docs
/docs/ @wqh17101
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# matchzoo

/matchzoo/auto/ @Chriskuei
/matchzoo/data_pack/ @faneshion @caiyinqiong
/matchzoo/data_pack/ @caiyinqiong @faneshion
/matchzoo/dataloader/ @caiyinqiong @Chriskuei
/matchzoo/datasets/ @caiyinqiong
/matchzoo/embedding/ @caiyinqiong
/matchzoo/engine/ @faneshion @Chriskuei
/matchzoo/losses/ @faneshion @Chriskuei
/matchzoo/metrics/ @faneshion @Chriskuei
/matchzoo/models/ @Chriskuei @faneshion
/matchzoo/modules/ @Chriskuei
/matchzoo/models/ @Chriskuei @faneshion @caiyinqiong
/matchzoo/modules/ @Chriskuei @caiyinqiong
/matchzoo/preprocessors/ @caiyinqiong @faneshion
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/matchzoo/trainers/ @Chriskuei
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2 changes: 1 addition & 1 deletion CONTRIBUTING.md
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For every pull request, we aim to promptly either merge it or say why it's not yet ready; if you go a few days without a reply, please feel
free to ping the thread by adding a new comment.

For a list of MatchZoo core developers, see [Readme](https://github.com/NTMC-Community/MatchZoo-py/blob/master/README.md).
For a list of MatchZoo core developers, see [README](https://github.com/NTMC-Community/MatchZoo-py/blob/master/README.md).

Contributing Flow
------------------
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recursive-include matchzoo/datasets/toy *
7 changes: 4 additions & 3 deletions README.md
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<div align='center'>
<img src="./artworks/matchzoo-logo.png" width = "400" alt="logo" align="center" />
<img src="https://github.com/NTMC-Community/MatchZoo-py/blob/master/artworks/matchzoo-logo.png?raw=true" width = "400" alt="logo" align="center" />
</div>

# MatchZoo-py [![Tweet](https://img.shields.io/twitter/url/http/shields.io.svg?style=social)](https://twitter.com/intent/tweet?text=MatchZoo-py:%20deep%20learning%20for%20semantic%20matching&url=https://github.com/NTMC-Community/MatchZoo-py)
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> MatchZoo 是一个通用的文本匹配工具包,它旨在方便大家快速的实现、比较、以及分享最新的深度文本匹配模型。
[![Python 3.6](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue.svg)](https://www.python.org/downloads/release/python-360/)
[![Gitter](https://badges.gitter.im/NTMC-Community/community.svg)](https://gitter.im/NTMC-Community/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
[![Pypi Downloads](https://img.shields.io/pypi/dm/matchzoo-py.svg?label=pypi)](https://pypi.org/project/MatchZoo-py/)
[![Documentation Status](https://readthedocs.org/projects/matchzoo-py/badge/?version=latest)](https://matchzoo-py.readthedocs.io/en/latest/?badge=latest)
[![Build Status](https://travis-ci.org/NTMC-Community/MatchZoo-py.svg?branch=master)](https://travis-ci.org/NTMC-Community/MatchZoo-py)
[![codecov](https://codecov.io/gh/NTMC-Community/MatchZoo-py/branch/master/graph/badge.svg)](https://codecov.io/gh/NTMC-Community/MatchZoo-py)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Requirements Status](https://requires.io/github/NTMC-Community/MatchZoo-py/requirements.svg?branch=master)](https://requires.io/github/NTMC-Community/MatchZoo-py/requirements/?branch=master)
[![Gitter](https://badges.gitter.im/NTMC-Community/community.svg)](https://gitter.im/NTMC-Community/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
---

The goal of MatchZoo is to provide a high-quality codebase for deep text matching research, such as document retrieval, question answering, conversational response ranking, and paraphrase identification. With the unified data processing pipeline, simplified model configuration and automatic hyper-parameters tunning features equipped, MatchZoo is flexible and easy to use.
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## Install

MatchZoo is dependent on [PyTorch](https://pytorch.org). Two ways to install MatchZoo-py:
MatchZoo-py is dependent on [PyTorch](https://pytorch.org). Two ways to install MatchZoo-py:

**Install MatchZoo-py from Pypi:**

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