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ACIDS

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@acids-ircam

Artificial Creative Intelligence and Data Science

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

1.8k

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

720

ddsp_pytorch. Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch

517

nn_tilde. Max

420

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

317

rave_vst. C++

192

pytorch_flows. Implementation and tutorials of normalizing flows with the novel distributions module

169

flow_synthesizer. Universal audio synthesizer control learning with normalizing flows

162

neurorack. Python

141

AFTER. AFTER : Audio Features Transfer and Exploration in Real-time

132

vschaos2. vintage neural synthesis with spectral auto-encoders

73

variational-timbre. Generative timbre spaces by perceptually regularizing variational auto-encoders

65

cached_conv. Python

58

wavae. Realtime Variational Autoencoder built on top of libtorch and PureData

39

ravetable. Ravetable synthesis - Latent signal processing

38

torchbend. Neural network bending framework for creativity in Pytorch

37

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

23

platune. This is the official repository of PLaTune, our Pretrained Latents Tuner model that enables to add temporal musical controls on top of pretrained neural audio codecs. The method is detailed in our paper "Adding temporal musical controls on top of pretrained generative models" accepted at the ISMIR 2025 Conference.

18

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

13

lottery_generative. Lottery ticket hypothesis for deep generative models

11

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.

11

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

9

acids-dataset. data parsing / loading facility for handy audio machine learning. powered by lmdb

9

cml. Library for the Creative Machine Learning course

6

projective_orchestration. Automatic projective orchestration using neural networks.

6

live_orchestral_piano. Max/MSP patch for live projective orchestration

4

acids-ircam.github.io. HTML

4

waveflow. Python

4

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

4

website. New website for ACIDS collective

2

ismir2018.

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