A Collection of Variational Autoencoders (VAE) in PyTorch.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurI...
Experiments for understanding disentanglement in VAE latent representations
Pytorch implementation of β-VAE
Dataset to assess the disentanglement properties of unsupervised learnin...
Pytorch implementation of FactorVAE proposed in Disentangling by Factori...
Replicating "Understanding disentangling in β-VAE"
🧶 Modular VAE disentanglement framework for python built with PyTorch L...
Repository for implementation of generative models with Tensorflow 1.x
Predicting image frames using autoencoder and LSTM