Popular GitHub Repositories for Variational Autoencoder

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

Next RecSys Library

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

Tensorflow implementation of variational auto-encoder for MNIST

Open-AI's DALL-E for large scale training in mesh-tensorflow.

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Lstm variational auto-encoder for time series anomaly detection and features extraction

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Stochastic Adversarial Video Prediction

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

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

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

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

PyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.

Pytorch implementation of Block Neural Autoregressive Flow

Collection of operational time series ML models and tools

Training and evaluating a variational autoencoder for pan-cancer gene expression data

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Tensorflow implementation of conditional variational auto-encoder for MNIST

PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU