A Collection of Variational Autoencoders (VAE) in PyTorch.
A U-Net combined with a variational auto-encoder that is able to learn c...
Bayesian Deep Learning: A Survey
DGMs for NLP. A roadmap.
I try my best to keep updated cutting-edge knowledge in Machine Learning...
Repository for Deep Structural Causal Models for Tractable Counterfactua...
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classifi...
Official implementation of Dynamical VAEs
Deep and Machine Learning for Microscopy
Training and evaluating a variational autoencoder for pan-cancer gene ex...
🧶 Modular VAE disentanglement framework for python built with PyTorch L...
Variational Graph Recurrent Neural Networks - PyTorch
This repository tries to provide unsupervised deep learning models with ...
Ladder Variational Autoencoders (LVAE) in PyTorch