kabartay/openunivcourses
Free machine-learning courses from MIT, Stanford, Berkeley, CMU, NYU and UChicago, with every yearly edition and lecture video linked in one searchable page.
Custom APRL machine-learning algorithm + a curated ML knowledge base of 923 papers, lectures, and explainers. NumPy classifier/regressor, tests, benchmarks, provenance, Obsidian, and agent-ready Markdown.
$ git clone https://github.com/ATOM00blue/machine-learning-library.gitFree machine-learning courses from MIT, Stanford, Berkeley, CMU, NYU and UChicago, with every yearly edition and lecture video linked in one searchable page.
▲ +11 ★ this week
🌟100+ 原创 LLM / RL 原理图📚,《大模型算法》作者巨献!💥(100+ LLM/RL Algorithm Maps )
▲ +3 ★ this week
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
▲ +20 ★ this week
No description, just vibes.
A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.
Data from GitHub · snapshot Nov 13, 2026