A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
Monorepo of research code and datasets released by Google Research, spanning many subprojects.
A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.
An end-to-end open source platform for building and deploying machine learning models, with Python and C++ APIs.
Python library providing GPU-accelerated tensor computation like NumPy, plus a tape-based autograd system for building deep neural networks.