Alexandre Défossez

demucs. Code for the paper Hybrid Spectrogram and Waveform Source Separation

julius. Fast PyTorch based DSP for audio and 1D signals

seewav. Audio waveform visualisation, converts any audio to a nice video

mdx21_demucs. Reproduction repository for the MDX 2021 Hybrid Demucs model

sdx23. SDX23 startkit for the Demucs baselines.

treetable. Print in ascii art a table with a tree-like structure

audio_mod_idessai. Repo for the IDESSAI 2024 course on modeling audio with discrete tokens.

dnn_theo_practice. Repository for DNN training, theory to practice, part of the Large Scale Machine Learning class at Mines Paritech

music-demixing-challenge-starter-kit. Starter kit for getting started in the Music Demixing Challenge.

audiocraft. Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

audio-resampling-in-python. Comparison of Python audio resampling implementations

docker-facebook-demucs. Dockerized Facebook Demucs library to make it easy its execution

EternalTerminal. Re-Connectable secure remote shell

sigsep-mus-eval. museval - source separation evaluation tools for python

prioheap. Priority Queue with a sane API

flashy. Framework for writing deep learning training loops. Lightweight, and retaining full freedom to design as you see fits. It handles checkpointing, logging, distributed, compatibility with Dora, and more!

notes. Python utilities to work with music notes

basic. Utility for handling basic types, convertible to and from JSON/BSON

python-pesq. PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)