Stars
Join the community on Discord for more discussions around Neutone! https://discord.gg/VHSMzb8Wqp
A list of Machine Learning Art Colabs
Audio super resolution using neural networks
Steer OpenAI's Jukebox with Music Taggers
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
ouhenio / stylegan3-projector
Forked from NVlabs/stylegan3StyleGAN3 + Inversion
Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)
Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
A TensorFlow implementation of DeepMind's WaveNet paper
Variational Autoencoder in the mel-spectrogram domain for one-shot audio synthesis
Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
StyleGAN2-ADA - Official PyTorch implementation
Manipulating the inner representations of StyleGAN2
jctestud / pix2pixHD
Forked from NVIDIA/pix2pixHDSynthesizing and manipulating 2048x1024 images with conditional GANs
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
This is the repo for my experiments with StyleGAN2. There are many like it, but this one is mine. Contains code for the paper Audio-reactive Latent Interpolations with StyleGAN.
Code and slides for the "Generating Sound with Neural Network" series on The Sound of AI Youtube channel.
Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Neural sound synthesis with TensorFlow 2
ZVK / jukebox
Forked from Cortexelus/jukeboxCode for "Jukebox: A Generative Model for Music"
PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
WaveGAN: Learn to synthesize raw audio with generative adversarial networks
Code for Unconditional Audio Generation with GAN and Cycle Regularization
Hierarchical fast and high-fidelity audio generation
a list of demo websites for automatic music generation research