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anticipation

Anticipatory Autoregressive Models

audioslicer

Audio Slicer that uses silence detection to split .wav audio files into several .wav samples.

beatles-lyrics

daw

GridSound (0.41.1) wants to be an open source online digital audio workstation following the new WebAudio API 🎛🎹🎵✨ -- If you can, please sponsor us a little on our Patreon ❤️

demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

genmusic_demo_list

a list of demo websites for automatic music generation research

juce_emscripten

Port of JUCE to the browser via emscripten

los-angeles-midi-dataset

SOTA kilo-scale MIDI dataset for MIR and Music AI purposes

magenta

Magenta: Music and Art Generation with Machine Intelligence

melodia_python_tutorial

miditok

Convenient MIDI / symbolic music tokenizers for Deep Learning networks 🎶

musicautobot

Using deep learning to generate music in MIDI format.

musicautobot_vueapp

Vue app for https://github.com/bearpelican/musicautobot

musicpy

Musicpy is a music programming language in Python designed to write music in very handy syntax through music theory and algorithms.

musictransformer-pytorch

implementation of music transformer with pytorch (ICLR2019)

nlp-project-hit-machine

pronouncingpy

A simple interface for the CMU pronouncing dictionary

python-mingus

Mingus is a music package for Python

react-piano

An interactive piano keyboard for React

react-piano-roll

piano roll component

react-split-pane

React split-pane component

react-svg-spinners

A React Component Library for SVG Spinners

retrieval-based-voice-conversion-webui

Voice data <= 10 mins can also be used to train a good VC model!

sf2synth.js

TypeScript port of sf2synth.js

sheetsage

Transcribe music into lead sheets!

signal

Online MIDI Editor: signal

so-vits-svc

SoftVC VITS Singing Voice Conversion

so-vits-svc-fork

so-vits-svc fork with realtime support, improved interface and more features.

spleeter

Deezer source separation library including pretrained models.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.