A Collection of Variational Autoencoders (VAE) in PyTorch.

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

A minimal pytorch implementation of VAE, IWAE, MIWAE

Code accompanying the notMIWAE paper

Importance Weighted Autoencoders in TensorFlow 2, reproducing results from the IWAE paper with 1 or 2 stochastic layers

Tutorial and discussion on Importance Weighted Autoencoder (IWAE) / Variational Autoencoder (VAE) implementation on MNIST using Tensorflow 2.0

Homeworks from CS294-158-19 (Deep unsupervised learning) implemented in Pytorch