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.
📺 Discover the latest machine learning / AI courses on YouTube.
| Date | Stars |
|---|---|
| 2026-07-24 | 17334 |
| 2026-07-25 | 17333 |
| 2026-07-28 | 17333 |
| 2026-07-30 | 17333 |
| 2026-07-31 | 17341 |
| 2026-08-06 | 17351 |
Today
+10 stars today
This week
+18 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.10%/day
# 📺 ML YouTube Courses At DAIR.AI we ❤️ open AI education. In this repo, we index and organize some of the best and most recent machine learning courses available on YouTube. **Machine Learning** - [Caltech CS156: Learning from Data](#caltech-cs156-learning-from-data) - [Stanford CS229: Machine Learning](#stanford-cs229-machine-learning) - [Making Friends with Machine Learning](#making-friends-with-machine-learning) - [Applied Machine Learning](#applied-machine-learning) - [Introduction to Machine Learning (Tübingen)](#introduction-to-machine-learning-Tübingen) - [Machine Learning Lecture (Stefan Harmeling)](#machine-learning-lecture-stefan-harmeling) - [Statistical Machine Learning (Tübingen)](#statistical-machine-learning-Tübingen) - [Probabilistic Machine Learning](#probabilistic-machine-learning) - [MIT 6.S897: Machine Learning for Healthcare (2019)](#mit-6s897-machine-learning-for-healthcare-2019) **Deep Learning** - [Neural Networks: Zero to Hero](#neural-networks-zero-to-hero-by-andrej-karpathy) - [MIT: Deep Learning for Art, Aesthetics, and Creativity](#mit-deep-learning-for-art-aesthetics-and-creativity) - [Stanford CS230: Deep Learning (2018)](#stanford-cs230-deep-learning-2018) - [Introduction to Deep Learning (MIT)](#introduction-to-deep-learning) - [CMU Introduction to Deep Learning (11-785)](#cmu-introduction-to-deep-learning-11-785) - [Deep Learning: CS 182](#deep-learning-cs-182) - [Deep Unsupervised Learning](#deep-unsupervised-learning) - [NYU Deep Learning SP21](#nyu-deep-learning-sp21) - [Foundation Models](#foundation-models) - [Deep Learning (Tübingen)](#deep-learning-Tübingen) **Scientific Machine Learning** - [Parallel Computing and Scientific Machine Learning](#parallel-computing-and-scientific-machine-learning) **Practical Machine Learning** - [LLMOps: Building Real-World Applications With Large Language Models](#llmops-building-real-world-applications-with-large-language-models) - [Evaluating and Debugging Generative AI](#evaluating-and-debugging-generative-ai) - [ChatGPT Prompt Engineering for Developers](#chatgpt-prompt-engineering-for-developers) - [LangChain for LLM Application Development](#langchain-for-llm-application-development) - [LangChain: Chat with Your Data](#langchain-chat-with-your-data) - [Building Systems with the ChatGPT API](#building-systems-with-the-chatgpt-api) - [LangChain & Vector Databases in Production](#langchain--vector-databases-in-production) - [Building LLM-Powered Apps](#building-llm-powered-apps) - [Full Stack LLM Bootcamp](#full-stack-llm-bootcamp) - [Full Stack Deep Learning](#full-stack-deep-learning) - [Practical Deep Learning for Coders](#practical-deep-learning-for-coders) - [Stanford MLSys Seminars](#stanford-mlsys-seminars) - [Machine Learning Engineering for Production (MLOps)](#machine-learning-engineering-for-production-mlops) - [MIT Introduction to Data-Centric AI](#mit-introduction-to-data-centric-ai) **Natural Language Processing** - [XCS224U: Natural Language Understanding (2023)](#xcs224u-natural-language-understanding-2023) - [Stanford CS25 - Transformers United](#stanford-cs25---transformers-united) - [NLP Course (Hugging Face)](#nlp-course-hugging-face) - [CS224N: Natural Language Processing with Deep Learning](#cs224n-natural-language-processing-with-deep-learning) - [CMU Neural Networks for NLP](#cmu-neural-networks-for-nlp) - [CS224U: Natural Language Understanding](#cs224u-natural-language-understanding) - [CMU Advanced NLP 2021/2022/2024](#cmu-advanced-nlp) - [Multilingual NLP](#multilingual-nlp) - [Advanced NLP](#advanced-nlp) **Computer Vision** - [CS231N: Convolutional Neural Networks for Visual Recognition](#cs231n-convolutional-neural-networks-for-visual-recognition) - [Deep Learning for Computer Vision](#deep-learning-for-computer-vision) - [Deep Learning for Computer Vision (DL4CV)](#deep-learning-for-computer-vision-dl4cv) - [Deep Learning for Computer Vision (neuralearn.ai)](#deep-learning-for-computer-vision-neuralearnai
Excerpt of 29,446 characters
Read on GitHub
Elvis Saravia · DAIR.AI
107
Iman Mohammadi · University of California, Irvine · United States
11
Pietro Monticone · Harmonic · United States
5
Maximilian Graf
2
parham saremi
2
Soham Talukdar
2
Michael Todd · @finderau · Australia
1
Jean de Dieu Nyandwi · Carnegie Mellon
1
Simon
1
Peter Thaleikis · @bringyourownideas
1
Vanshika Gupta
1
Sebastian Raschka
1
Anish Athalye · @cursor · United States
1
Bharat Raghunathan · United States
1
Amirmahdi Namjoo
1
Hamed Homaeirad
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:618c0675cf766ebd, topic:nlp, topic:natural-language-processing, readme:natural language processing
matched fp:618c0675cf766ebd, topic:deep-learning