rohitg00 / ai-engineering-from-scratch

A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.

NVlabs / ASPIRE

Framework where coding agents discover and refine robot sensorimotor skills as reusable code in place of gradient-based training.

google-research / google-research

Monorepo of research code and datasets released by Google Research, spanning many subprojects.

DataTalksClub / machine-learning-zoomcamp

A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.

higgsfield-ai / higgsfield

Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.

NVIDIA / Model-Optimizer

A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.

pytorch / pytorch

Python library providing GPU-accelerated tensor computation like NumPy, plus a tape-based autograd system for building deep neural networks.