Popular GitHub Repositories for Vq Vae

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

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Vector Quantized VAEs - PyTorch Implementation

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

Easy generative modeling in PyTorch

VQ-VAE for Acoustic Unit Discovery and Voice Conversion

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

A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

Official Implement of Multi-Stage Multi-Codebook (MSMC) TTS

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

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

L-Verse: Bidirectional Generation Between Image and Text

[ICML 2023] Official PyTorch Implementation of "Hierarchical Neural Coding for Controllable CAD Model Generation".

A Chainer implementation of VQ-VAE.

Python toolkit for speech processing

A Bach music generator with Artificial Intelligence. This model is made by a VQ-VAE + Transformer (decoder-only). Sequences of midi 1 quarter length are compressed into 16 codebooks via VQ-VAE and a transformer learns how to generate the codebooks sequence to obtain a midi score.

Hercules: Attributable and Scalable Opinion Summarization (ACL 2023)

Implementation of VQ-VAE with a GPT-style sampler in the JAX and Haiku ecosystem.

Tensorflow implementation of VQVAE for voice conversion