Tensorflow implementation of variational auto-encoder for MNIST
This repository contains model-free deep reinforcement learning algorit...
Open-AI's DALL-E for large scale training in mesh-tensorflow.
We propose a VAE-LSTM model as an unsupervised learning approach for ano...
Pytorch implementation of Hyperspherical Variational Auto-Encoders
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Vari...
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation...
Stochastic Adversarial Video Prediction
Lstm variational auto-encoder for time series anomaly detection and feat...
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Lea...
A tensorflow implementation of "Generating Sentences from a Continuous S...
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Variational AutoEncoder + ResNet Transfer Learning
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from t...