Data Augmentation with Variational Autoencoders (TPAMI)
Understanding normalizing flows
A Tensorflow implementation of a Variational Autoencoder for the deep le...
Deep Learning-based Clustering Approaches for Bioinformatics
Handle class imbalance intelligently by using variational auto-encoders ...
Code for "MojiTalk: Generating Emotional Responses at Scale" https://arx...
Implemented Variational Autoencoder generative model in Keras for image ...
Variational Graph Recurrent Neural Networks - PyTorch
The official PyTorch implementation of the paper "RecVAE: A New Variatio...
Simple implementation of Variational Autoencoder
Code for `DeepWriting: Making Digital Ink Editable via Deep Generative M...
Assessing Generative Models via Precision and Recall (official repository)
conditional variational autoencoder written in Keras [not actively maint...
Torch Implemention of ECCV'16 paper: Attribute2Image
CALC2.0: Combining Appearance, Semantic and Geometric Information for Ro...