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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Machine learning glossary
| Date | Stars |
|---|---|
| 2026-07-24 | 3128 |
| 2026-07-25 | 3128 |
| 2026-07-28 | 3128 |
| 2026-07-30 | 3128 |
| 2026-07-31 | 3129 |
| 2026-08-06 | 3128 |
Today
-1 stars today
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growth rate 0.00%/day
# Machine Learning Glossary ## Looking for fellow maintainers! Apologies for my non-responsiveness. :( I've been heads down at Cruise, buiding ML infra for self-driving cars, and haven't reviewed this repo in forever. Looks like we're getting `54k monthly active users` now and I think the repo deserves more attention. Let me know if you would be interested in joining as a maintainer with priviledges to merge PRs. [View The Glossary](http://ml-cheatsheet.readthedocs.io/en/latest/) ## How To Contribute 1. Clone Repo ``` git clone https://github.com/bfortuner/ml-glossary.git ``` 2. Install Dependencies ``` # Assumes you have the usual suspects installed: numpy, scipy, etc.. pip install sphinx sphinx-autobuild pip install sphinx_rtd_theme pip install recommonmark ``` For python-3.x installed, use: ``` pip3 install sphinx sphinx-autobuild pip3 install sphinx_rtd_theme pip3 install recommonmark ``` 3. Preview Changes If you are using make build. ``` cd ml-glossary cd docs make html ``` For Windows. ``` cd ml-glossary cd docs build.bat html ``` 4. Verify your changes by opening the `index.html` file in `_build/` 5. [Submit Pull Request](https://help.github.com/articles/creating-a-pull-request/) ### Short for time? Feel free to raise an [issue](https://github.com/bfortuner/ml-glossary/issues) to correct errors or contribute content without a pull request. ## Style Guide Each entry in the glossary MUST include the following at a minimum: 1. **Concise explanation** - as short as possible, but no shorter 2. **Citations** - Papers, Tutorials, etc. Excellent entries will also include: 1. **Visuals** - diagrams, charts, animations, images 2. **Code** - python/numpy snippets, classes, or functions 3. **Equations** - Formatted with Latex The goal of the glossary is to present content in the most accessible way possible, with a heavy emphasis on visuals and interactive diagrams. That said, in the spirit of rapid prototyping, it's okay to to submit a "rough draft" without visuals or code. We expect other readers will enhance your submission over time. ## Why RST and not Markdown? RST has more features. For large and complex documentation projects, it's the logical choice. * https://eli.thegreenplace.net/2017/restructuredtext-vs-markdown-for-technical-documentation/ ## Top Contributors We're big fans of [Distill](http://distill.pub/prize) and we like their idea of offering prizes for high-quality submissions. We don't have as much money as they do, but we'd still like to reward contributors in some way for contributing to the glossary. For instance a cheatsheet cryptocurreny where tokens equal commits ;). Let us know if you have better ideas. In the end, this is an open-source project and we hope contributing to a repository of concise, accessible, machine learning knowledge is enough incentive on its own! ## Tips and Tricks * [Adding equations](http://www.sphinx-doc.org/en/stable/ext/math.html) * [Working with Jupyter Notebook](http://louistiao.me/posts/demos/ipython-notebook-demo/) * Quickstart with Jupyter notebook template * Graphs and charts * Importing images * Linking to code ## Resources * [Desmos Graphing Tool](https://www.desmos.com/calculator) * [3D Graphing Tool](https://www.geogebra.org/3d) * [How To Submit Pull Requests](https://help.github.com/articles/creating-a-pull-request/) * [RST Cheatsheet](http://docutils.sourceforge.net/docs/user/rst/quickref.html) * [Markdown Cheatsheet](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet) * [Citation Generator](http://www.citationmachine.net) * [MathJax Cheatsheet](https://math.meta.stackexchange.com/questions/5020/mathjax-basic-tutorial-and-quick-reference) * [Embedding Math Equations](http://www.sphinx-doc.org/en/stable/ext/math.html) * [Sphinx Tutorial](https://pythonhosted.org/an_example_pypi_project/sphinx.html) * [Sphinx Docs](http://www.sphinx-doc.org/en/stable/markup/code.html) * [Sphinx Cheatsheet](http://openalea.gforge.inria.fr
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Parth Vadhadiya
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Pablo Vela · rerun.io · United States
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Joel Genter · Philips CT/AMI · United States
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Shanmugha Balan · BITS Pilani, Pilani Campus · India
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Bob Settlage · Virginia Tech
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a64c515f925056f2, topic:deep-learning, topic:neural-network