Welcome to the official repository for Earthly Machine Learning (EML) — listen on Spotify or on Apple Podcast.
Earthly Machine Learning (EML) brings you concise, AI-generated summaries of the latest machine learning research in weather, climate, and Earth sciences. The podcast is designed to make it easy to understand key insights from papers and decide whether to explore them in detail.
This repository is organized into two main folders:
-
tools/🛠️
Contains scripts used for:- Querying research papers for NotebookLM
-
papers/📚
Contains links to published research papers discussed in each podcast episode, organized by episode or topic for easy reference.
- Use the
tools/folder to explore and run scripts for research paper processing. - Navigate to the
papers/folder to access links to research papers featured in the podcast. - Check episode-specific notes and updates for any additional context.
If you'd like to contribute to the project, feel free to:
- Open an issue to suggest improvements, paper to include or new features
Thanks for supporting Earthly Machine Learning (EML)! 🌍🤖