PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.