Comfy-Org / ComfyUI

Node-graph GUI and Python backend for running diffusion models to generate images, video, 3D, and audio locally.

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.

mrdbourke / zero-to-mastery-ml

Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.

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.

facebookresearch / audiocraft

PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.

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.

harry7557558 / spirula-studio

Desktop and CLI tool that trains 3D Gaussian Splatting models from photos or video, then exports splats and textured meshes, using Vulkan compute.

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.

FluidInference / FluidAudio

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

tensorflow / tensorflow

An end-to-end open source platform for building and deploying machine learning models, with Python and C++ APIs.

pytorch / pytorch

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