Free machine-learning courses from MIT, Stanford, Berkeley, CMU, NYU and UChicago, with every yearly edition and lecture video linked in one searchable page.
$ git clone https://github.com/kabartay/openunivcourses.gitA 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.
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.
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12 Weeks, 24 Lessons, AI for All!
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🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
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This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Data from GitHub · snapshot Nov 13, 2026