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.

ddalcu / mlx-serve

Native macOS and Apple Silicon inference server exposing OpenAI, Anthropic and Ollama APIs, with a Swift app, written in Zig.

AI4Finance-Foundation / FinRL

Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.

UFund-Me / Qbot

Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.

microsoft / AI-For-Beginners

A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.

facebookresearch / segment-anything

Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.

CompVis / stable-diffusion

Reference code for Stable Diffusion, a latent text-to-image diffusion model that generates images from text prompts.

strands-agents / harness-sdk

Open-source SDK for building and running AI agents in Python and TypeScript, with a fully assembled harness and a model-agnostic agent loop.

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.

leejet / stable-diffusion.cpp

C/C++ inference engine for diffusion image and video models such as SD, Flux, Wan, and Qwen-Image, built on ggml.

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.

FluidInference / FluidAudio

Swift SDK running open-source speech models (ASR, TTS, VAD, speaker diarization) locally on Apple devices via CoreML and the Neural Engine.