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.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
Python library providing GPU-accelerated tensor computation like NumPy, plus a tape-based autograd system for building deep neural networks.