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.
A curated list of Best Artificial Intelligence Resources
| Date | Stars |
|---|---|
| 2026-07-24 | 1507 |
| 2026-07-25 | 1508 |
| 2026-07-28 | 1508 |
| 2026-07-30 | 1508 |
| 2026-08-06 | 1508 |
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# An Ultimate Compilation of AI Resources for Mathematics, Machine Learning and Deep Learning ## _Knowledge Not Shared is wasted. - Clan Jacobs_ ### This collection is a compilation of Excellent ML and DL Tutorials created by the people below - [Andrej Karpathy blog](http://karpathy.github.io/) - [Brandon Roher](https://e2eml.school/blog.html) - [Andrew Trask](https://iamtrask.github.io/) - [Jay Alammar](https://jalammar.github.io/) - [Sebastian Ruder](https://ruder.io/) - [Distill](https://distill.pub/) - [StatQuest with Josh Starmer](https://www.youtube.com/user/joshstarmer) - [sentdex](https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ) - [Lex Fridman](https://www.youtube.com/user/lexfridman) - [3Blue1Brown](https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw) - [Alexander Amini](https://www.youtube.com/user/Zan560) - [The Coding Train](https://www.youtube.com/user/shiffman) - [Christopher Olah](https://colah.github.io/) ## Communities to Follow - [AI Coimbatore](https://www.meetup.com/AICoimbatore/) *Join here*🔗⬇️ - [Telegram : For Daily Updates](https://t.me/joinchat/MmtTDRUcEqIuAPpr6Ph0Jw) - [Facebook : Coimbatore School of AI](https://www.facebook.com/groups/440187506472896/) - [TensorFlow User Group Coimbatore](https://www.tensorflow.org/community/groups) - [Meetup : TFUGCbe](https://www.meetup.com/TFUGCbe/) - [Facebook : TFUGCbe](https://www.facebook.com/groups/2425901487658992/) ## This Repo is Created and Maintained by _Navaneeth Malingan_ <a target="_blank" href="https://www.instagram.com/nivu.me/"> <img align="left" alt="Instagram" width="22px" src="https://raw.githubusercontent.com/gauravghongde/social-icons/master/SVG/Color/Instagram.svg" /> </a> <a target="_blank" href="https://www.linkedin.com/in/nivu/"> <img align="left" alt="LinkdeIN" width="22px" src="https://raw.githubusercontent.com/gauravghongde/social-icons/master/SVG/Color/LinkedIN.svg" /> </a> <br/> ## Why Data Science and how to get started? - [🖥️ HOW TO GET STARTED WITH MACHINE LEARNING!](https://www.youtube.com/watch?v=I74ymkoNTnw) - [How to Build a Meaningful Career in Data Science](https://www.datacamp.com/community/blog/how-to-build-a-meaningful-career-in-data-science) - [My Self-Created Artificial Intelligence Masters Degree](https://hackernoon.com/my-self-created-ai-masters-degree-ddc7aae92d0e) - [PyImageSearch](https://www.pyimagesearch.com/start-here/) - [5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python](https://www.mrdbourke.com/5-beginner-friendly-steps-to-learn-machine-learning/) ## Intro to ML - [Luis Serrano: A Friendly Introduction to Machine Learning](https://www.youtube.com/watch?v=IpGxLWOIZy4) - [StatQuest: A Gentle Introduction to Machine Learning](https://www.youtube.com/watch?v=Gv9_4yMHFhI) - [Machine Learning For Everyone](https://vas3k.com/blog/machine_learning/) _Summarize's Machine Learning algorithms and their applications in simple words with real-world examples._ ## Anyone can do Machine Learning - [Teachable Machine](https://teachablemachine.withgoogle.com/) _Train a computer to recognize your own images, sounds, & poses. A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required._ ## MOOCs - [Machine Learning by Andrew Ng, Stanford](https://www.coursera.org/learn/machine-learning) _IMDB 10/10 LOL :P_ - [Datacamp : Data Engineer with Python](https://www.datacamp.com/tracks/data-engineer-with-python) - [Intro to Machine Learning](https://classroom.udacity.com/courses/ud120) _Topics Covered Naive Bayes, SVM, Decision Trees, Regressions, Outliers, Clustering, Feature Scaling, Text Learning, Feature Selection, PCA, Validation, Evaluation Metrics_ - [Intro to TensorFlow for Deep Learning](https://classroom.udacity.com/courses/ud187) _The Best Course for Learning TensorFlow_ - [End-to-End Machine Learning](https://end-to-end-machine-learning.teachable.com/courses/) - [NVIDIA DEEP LEARNING INSTITUTE](h
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matched fp:bd241cbfd695ed88, topic:deep-learning, topic:tensorflow
matched fp:bd241cbfd695ed88, topic:gan
matched fp:bd241cbfd695ed88, topic:reinforcement-learning