Framework where coding agents discover and refine robot sensorimotor skills as reusable code in place of gradient-based training.
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
Official C++ inference framework for 1-bit (1.58-bit) LLMs, providing optimized CPU and GPU kernels.
Open-source SDK for building and running AI agents in Python and TypeScript, with a fully assembled harness and a model-agnostic agent loop.
Desktop and CLI tool that trains 3D Gaussian Splatting models from photos or video, then exports splats and textured meshes, using Vulkan compute.
Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
An end-to-end open source platform for building and deploying machine learning models, with Python and C++ APIs.