devstermarts

Notebooks

Training RAVE, vschaos2, MSPrior and RAVE Latent Diffusion models on Kaggle or Colab

PD-components

Effects, instruments, tools etc. for Pure Data.

Fibonacci-Jungle

Generative framework for Jungle and Drum & Bass, based on the Fibonacci number sequence and implemented in Pure Data

PD-srr

PD implementation of 'Sinusoidal Run Rhythm' by Steffen Krebber

nn_tilde

PD-risset

Risset eternal accelerando rhythms implementation for Pure Data according to Dan Stowell's 2011 ICMC paper.

AFTER

AFTER : Audio Features Transfer and Exploration in Real-time

cached_conv

control-transfer-diffusion

Repository for the paper "Combining audio control and style transfer using latent diffusion", accepted at ISMIR 2024

dadabots_sampleRNN

Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands

ddsp_pytorch

Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch

fit-python-sdk

Official Garmin FIT Python SDK

msprior

neuralnet

An Artificial Neural Network framework for Pure Data

PD-latent-jamming

Abstractions for Latent Jamming with nn~ compatible neural audio models written in Pure Data

RAVE

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

RAVE-Latent-Diffusion

Generate new latent codes for RAVE with Denoising Diffusion models.

RAVE-legacy

stable-audio-tools

Generative models for conditional audio generation

vschaos2

vintage neural synthesis with spectral auto-encoders

WebPd

Run your Pure Data patches on the web.