acids-ircam

RAVE

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

diffusion_models

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

ddsp_pytorch

Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch

nn_tilde

creative_ml

Creative Machine Learning course and notebook tutorials in JAX, PyTorch and Numpy

rave_vst

pytorch_flows

Implementation and tutorials of normalizing flows with the novel distributions module

flow_synthesizer

Universal audio synthesizer control learning with normalizing flows

neurorack

variational-timbre

Generative timbre spaces by perceptually regularizing variational auto-encoders

cached_conv

vschaos2

vintage neural synthesis with spectral auto-encoders

wavae

Realtime Variational Autoencoder built on top of libtorch and PureData

timbre_exploration

Additional materials for "TIMBRE LATENT SPACE: EXPLORATION AND CREATIVE ASPECTS"

lottery_mir

Ultra-light MIR models with a structured lottery ticket hypothesis approach

lottery_generative

Lottery ticket hypothesis for deep generative models

Expressive_WAE_FADER

companion repository to the DAFx-19 paper "Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders" by Adrien Bitton, Philippe Esling et al.

Timbre_MoVE

Modulated Variational Auto-Encoders for Many-to-Many Musical Timbre Transfer

cml

Library for the Creative Machine Learning course

projective_orchestration

Automatic projective orchestration using neural networks.

PianoTranscriptionTransposition

Automatic Music Transcription and Instrument Transposition with Differentiable Rendering @ The 2020 Joint Conference on AI Music Creativity

waveflow

acids-ircam.github.io

live_orchestral_piano

Max/MSP patch for live projective orchestration

ismir2018