ACIDS

The Artificial Creative Intelligence and Data Science (ACIDS) group is part of the RepMus team at IRCAM laboratory and is hell-bent on trying to model musical creativity by developing innovative artificial intelligence models. The major goal of this team is to produce creative models that can be useful for humans to create inspiring art. https://acids.ircam.fr/

Projects

  • This is a general repository

    Project

    RAVE VST API

    ACIDS

    RAVE VST API

  • Project

    nn~

    ACIDS Analysis neural

    A max / Pd external for real-time AI audio processing.

  • Project

    RAVE

    ACIDS Analysis Analysis of sound

    Official implementation of RAVE: A variational autoencoder for fast and high-quality neural audio synthesis

  • Project

    RAVE VST

    ACIDS Audio Unit neural

    Include RAVE models in your DAW for realtime deep learning based processing

  • Project

    ACIDS-projects

    ACIDS Analysis of sound Deep learning

    Summary of all available projects with documentation and instructions

  • Project

    WaVAE

    ACIDS Ai Analysis

    Realtime Variational Autoencoder built on top of libtorch and PureData

  • Project

    DDSP

    ACIDS Ai Analysis

    Differentiable Digital Signal Processing. Implementation of the DDSP model using PyTorch. This implementation can be exported to a torchscript mode...

  • Project

    Neurorack

    ACIDS Eurorack neural

    This project documents the Neurorack, which is a deep AI-based synthesizer based on the Jetson Nano development kit in a EuroRack format.

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