variational-autoencoder topic

"Deep Generative Modeling": Introductory Examples

jmtomczak

Tensorflow implementation of variational auto-encoder for MNIST

hwalsuklee

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

navneet-nmk

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

EleutherAI

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

timbmg

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

edgarschnfld

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

sksq96

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Chung-I

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

TimyadNyda

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

lin-shuyu