Node-graph GUI and Python backend for running diffusion models to generate images, video, 3D, and audio locally.
Framework where coding agents discover and refine robot sensorimotor skills as reusable code in place of gradient-based training.
Native macOS and Apple Silicon inference server exposing OpenAI, Anthropic and Ollama APIs, with a Swift app, written in Zig.
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
Reference code for Stable Diffusion, a latent text-to-image diffusion model that generates images from text prompts.
Official C++ inference framework for 1-bit (1.58-bit) LLMs, providing optimized CPU and GPU kernels.
Desktop and CLI tool that trains 3D Gaussian Splatting models from photos or video, then exports splats and textured meshes, using Vulkan compute.
C/C++ inference engine for diffusion image and video models such as SD, Flux, Wan, and Qwen-Image, built on ggml.
Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.