Open-source text-to-speech library with a 1.7B 1-bit speech model and lightweight ONNX models that run on CPU.
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
Swift SDK running open-source speech models (ASR, TTS, VAD, speaker diarization) locally on Apple devices via CoreML and the Neural Engine.