variational-autoencoders topic
pytorch-generative
Easy generative modeling in PyTorch.
VAE-Tensorflow
(beta-)VAE Tensorflow
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
vae_vampprior
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Generative-and-Discriminative-Voxel-Modeling
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification