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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.
Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊
| Date | Stars |
|---|---|
| 2026-07-24 | 969 |
| 2026-07-25 | 976 |
| 2026-07-28 | 989 |
| 2026-07-30 | 994 |
| 2026-08-06 | 994 |
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# ✨ Comprehensive Study Resources ✨ **A curated collection of books and references** for Computer Vision, Machine Learning, Deep Learning, NLP, Python, and more. <br /> **A collection of more than 200+ programming ebooks at one place at no cost**  **Before We Dive In, Here Are Some Cool Sites You Should Visit at Least Once** 1. [Goal Kicker](https://goalkicker.com/) 2. [RoadMap.sh](https://roadmap.sh/) 3. [MlCourse.ai](https://mlcourse.ai/book/index.html) - classic ml 4. [dl2.ai](https://d2l.ai/) - Main DL concepts with clear explanation and practical implementation 5. [Devops for DataScience](https://do4ds.com/) 6. [for LLMS Enthusiasts](https://comfyai.app/about) (*a small collection of links shared by [Marian](https://github.com/MarianSlassi) covering ML, DL, DevOps, and LLM tools.) <hr /> ## Roadmap for AIML (Beginners) **If you prefer everything in a proper blog format, I’ve written detailed guides that cover:** - where to start ? - what exact topics to focus on ? - and how to progress in the right order Roadmap guide (Part 1): Roadmap : [AIML | Medium](https://medium.com/@rashesh369/roadmap-that-made-me-expert-in-aiml-in-just-4-months-c87bd191ead9) <br /> Detailed topics breakdown (Part 2): Roadmap 2 : [AIML | medium](https://medium.com/h7w/a-practical-ai-ml-roadmap-that-took-me-from-beginner-to-professional-in-30-days-1c48ce8ebeca) ## Symbol Table | Symbol | Meaning | | :----: | :---------------------------------------------- | | 🌟 | **Highly recommended / Must-read** | ### <ins> Cheatsheets </ins> 1) [Machine Learning Cheatsheet](https://github.com/Rishabh-creator601/Books/blob/master/cheatsheets/Machine%20Learning%20Cheatsheet) *** ### <ins> Computer Vision (CV)</ins> 1) [Autoencoders and GANS](https://github.com/Rishabh-creator601/Books/blob/master/CV/autoencoders%20and%20GANS.pdf) 2) [Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python* by Jason Brownlee](https://github.com/Rishabh-creator601/Books/blob/master/CV/Deep%20Learning%20for%20Computer%20Vision%20-%20Image%20Classification,%20Object%20Detection%20and%20Face%20Recognition%20in%20Python%20by%20Jason%20Brownlee%20(z-lib.org).pdf) 3) [deep learning for vision systems](https://github.com/Rishabh-creator601/Books/blob/master/CV/deep-learning-for-vision-systems[H].pdf) 4) [Deep Learning For Computer Vision python](https://github.com/Rishabh-creator601/Books/blob/master/CV/DeepLEarningForComputerVision_python.pdf) 5) [Generative Deep Learning - Teaching Machines to Paint, David Foster, Applied Data Science](https://github.com/Rishabh-creator601/Books/blob/master/CV/Generative%20Deep%20Learning%20-%20Teaching%20Machines%20to%20Paint,%20--%20David%20Foster,%20Applied%20Data%20Science%20--%20(%20WeLib.org%20).pdf) 6) [mastering matploitlib](https://github.com/Rishabh-creator601/Books/blob/master/CV/mastering%20matploitlib.pdf) 7) [Michael Avendi - PyTorch Computer Vision Cookbook Over 70 recipes to solve computer vision and image processing problems using PyTorch](https://github.com/Rishabh-creator601/Books/blob/master/CV/Michael%20Avendi%20-%20PyTorch%20Computer%20Vision%20Cookbook_%20Over%2070%20recipes%20to%20solve%20computer%20vision%20and%20image%20processing%20problems%20using%20PyTorch%201.x%20(2020,%20Packt%20Publishing)%20-%20libgen.lc.pdf) 8) [OpenCV Computer Vision Projects with Python](https://github.com/Rishabh-creator601/Books/blob/master/CV/OpenCV%20Computer%20Vision%20Projects%20with%20Python%20(%20PDFDrive.com%20).pdf) 9) [Opencv Ref](https://github.com/Rishabh-creator601/Books/blob/master/ref/Opencv%20Ref.pdf) 10) [OpenCV with Python Blueprints](https://github.com/Rishabh-creator601/Books/blob/master/CV/OpenCV%20with%20Python%20Blueprints.pdf) 11) [Using Stable Diffusion with Python](https://github.com/Rishabh-creator601/Books/blob/master/CV/Using%20Stable%20Diffusion%20with%
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matched fp:48a75577ecb546cd, topic:computer-vision, topic:yolo, readme:computer vision