Audio generation research library for PyTorch
Music source separation in the waveform domain.
Minimal solver for deep learning
Easy grid searches for ML.
Differentiable quantization framework for PyTorch.
High fidelity neural audio codec
Nice DSP sweets: resampling, FFT Convolutions. All with PyTorch, differentiable and with CUDA support.
Speech enhancement in the waveform domain. Supports offline and streaming evaluation. Implementation for https://arxiv.org/abs/2006.12847. For training, please directly clone the github repository.
Helper to pretty print an ascii table with atree-like structure
Tools for MEG processing
Priority queue with a sane API