Code for the paper "Jukebox: A Generative Model for Music"

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

Vector Quantized VAEs - PyTorch Implementation

Minimalist implementation of VQ-VAE in Pytorch

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

VQ-VAE for Acoustic Unit Discovery and Voice Conversion

A Chainer implementation of VQ-VAE.

Repository for implementation of generative models with Tensorflow 1.x

Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion

TensorFlow implementation of VQ-VAE with WaveNet decoder, based on https://arxiv.org/abs/1711.00937 and https://arxiv.org/abs/1901.08810

Pytorch Implementation of "Neural Discrete Representation Learning"

Pytorch implementation of "Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion" [Interspeech 2019]

Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)

A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"

Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.

Tensorflow implementation of VQVAE for voice conversion

PyTorch implementation of VQ-VAE applied on CIFAR10 dataset

Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE

Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE

replicate representation learning papers

Implementation of a multi-modal VQ-VAE

Variational autoencoders implemented in Tensorflow.

Diverse VAE experiments and implementations in TensorFlow.