vae topic
tf-vqvae
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Sentence-VAE
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
tensorflow-mnist-CVAE
Tensorflow implementation of conditional variational auto-encoder for MNIST
VAE-for-Image-Generation
Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
pycadl
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
VQ-VAE
Minimalist implementation of VQ-VAE in Pytorch
Optimus
Optimus: the first large-scale pre-trained VAE language model
Beta-VAE
Pytorch implementation of β-VAE
FactorVAE
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN