A Collection of Variational Autoencoders (VAE) in PyTorch.
Pytorch implementation of JointVAE, a framework for disentangling contin...
Pytorch implementation of stochastically quantized variational autoencod...
Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-...
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Ba...
TensorFlow GAN implementation using Gumbel Softmax
An implementation of a Variational-Autoencoder using the Gumbel-Softmax ...
Keras implementation of a Variational Auto Encoder with a Concrete Laten...
TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami...