Top AI Repos — open-source AI, indexed and scored
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 and deep learning resources
| Date | Stars |
|---|---|
| 2026-07-31 | 566 |
| 2026-08-02 | 566 |
| 2026-08-06 | 566 |
| 2026-08-11 | 566 |
| 2026-08-12 | 566 |
| 2026-08-13 | 567 |
| 2026-08-16 | 567 |
| 2026-08-17 | 568 |
| 2026-08-18 | 568 |
| 2026-08-30 | 569 |
| 2026-09-03 | 570 |
| 2026-09-09 | 571 |
| 2026-09-11 | 572 |
| 2026-09-19 | 573 |
| 2026-09-20 | 573 |
Today
— stars today
This week
+1 stars this week
This month
+5 stars this month
Momentum
0.0
growth rate 0.18%/day
https://github.com/ed-donner/llm_engineering?tab=readme-ov-file# Machine- and Deep Learning resources
[](https://opensource.org/licenses/MIT) [](http://makeapullrequest.com)
Machine and deep learning and data analysis resources. Please, [contribute and get in touch](CONTRIBUTING.md)! See [MDmisc notes](https://github.com/mdozmorov/MDmisc_notes) for other programming and genomics-related notes.
# Table of content
<!-- START doctoc generated TOC please keep comment here to allow auto update -->
<!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->
- [Cheatsheets](#cheatsheets)
- [Awesome Deep Learning](#awesome-deep-learning)
- [Keras, Tensorflow](#keras-tensorflow)
- [PyTorch](#pytorch)
- [JAX](#jax)
- [Graph Neural Networks](#graph-neural-networks)
- [Transformers](#transformers)
- [DL Books](#dl-books)
- [DL Courses & Tutorials](#dl-courses--tutorials)
- [DL Videos](#dl-videos)
- [DL Papers](#dl-papers)
- [DL Genomics](#dl-genomics)
- [DL Tools](#dl-tools)
- [Auto ML](#auto-ml)
- [DL models](#dl-models)
- [DL projects](#dl-projects)
- [Language models](#language-models)
- [Audio, music, voice](#audio-music-voice)
- [Image, video, vision](#image-video-vision)
- [DL Misc](#dl-misc)
- [Awesome Machine learning](#awesome-machine-learning)
- [ML Books](#ml-books)
- [ML Courses & Tutorials](#ml-courses--tutorials)
- [ML Videos](#ml-videos)
- [ML Papers](#ml-papers)
- [ML Tools](#ml-tools)
- [ML Misc](#ml-misc)
<!-- END doctoc generated TOC please keep comment here to allow auto update -->
# Cheatsheets
- [Artificial-intelligence](https://github.com/Niraj-Lunavat/Artificial-intelligence) - Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
- [Over 200 of the Best Machine Learning, NLP, and Python Tutorials — 2018 Edition](https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc), [Source](https://twitter.com/iamtrask/status/1318464483883470849?s=20)
- [101 Machine Learning Algorithms for Data Science with Cheat Sheets](https://blog.datasciencedojo.com/machine-learning-algorithms/) - Brief description and R/Python examples of algorithms, categorized into several categories: classification, regression, neural networks, anomaly detection, dimensionality reduction, ensemble learning, clusterint, association rule analysis, regularization
- [cheatsheets-ai](https://github.com/kailashahirwar/cheatsheets-ai) - Essential Cheat Sheets for deep learning and machine learning researchers
- [Claude Code for Babies](https://gexijin.github.io/vibe/) - 15-minute tutorials for Claude Code, a powerful AI for coding, research, & more
- [Data Science Cheatsheet](https://github.com/ml874/Data-Science-Cheatsheet) - Data Science and ML Cheat Sheet, by Maverick Lin. [Source](https://www.datasciencecentral.com/profiles/blogs/new-data-science-cheat-sheet)
- [Data Science Cheatsheet](https://github.com/aaronwangy/Data-Science-Cheatsheet) - A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between
- [ChatGPT Secret Tricks Cheat Sheet - 50 Power Commands!](ChatGPT50.md), [source](https://www.reddit.com/r/PromptEngineering/comments/1pifidh/chatgpt_secret_tricks_cheat_sheet_50_power/)
- [Gemini CLI Tips & Tricks](https://github.com/addyosmani/gemini-cli-tips) - over 30 pro-tips for effectively using Gemini CLI for agentic coding
- [Machine Learning Cheatsheet](https://ml-cheatsheet.readthedocs.io/en/latest/) - Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.
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Tiago monteiro · Northeastern University · United States
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:0d55ed96e7dfa25e, topic:deep-learning