A Collection of Variational Autoencoders (VAE) in PyTorch.
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Updated
Mar 21, 2025 - Python
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
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