Alternatives and similar repositories for waae-pytorch:

Users that are interested in waae-pytorch are comparing it to the libraries listed below

• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 5 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆86Updated 6 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• fducau / AAE_pytorch
  ☆200Updated 7 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆72Updated 6 years ago
• edgarriba / ali-pytorch
  Adversarially Learned Inference in Pytorch
  ☆30Updated 8 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆116Updated 6 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 6 years ago
• tomsercu / FisherGAN
  Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675
  ☆23Updated 7 years ago
• o-tawab / Variational-Autoencoder-pytorch
  Implementation of a convolutional Variational-Autoencoder model in pytorch.
  ☆74Updated 6 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆91Updated 6 years ago
• edouardoyallon / scalingscattering
  ☆81Updated 7 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 6 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆91Updated 7 years ago
• RuiShu / vae-experiments
  Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…
  ☆62Updated 8 years ago
• nitarshan / variational-autoencoder
  PyTorch implementation of "Auto-Encoding Variational Bayes"
  ☆41Updated 8 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 5 years ago
• biuyq / CT-GAN
  ☆48Updated 7 years ago
• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆89Updated 2 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 7 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 5 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 7 years ago
• Near32 / PYTORCH_VAE
  Disentangled Variational AutoEncoder with PyTorch
  ☆29Updated 6 years ago
• pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAE
  Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
  ☆42Updated 4 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 6 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 6 years ago
• zhenxuan00 / graphical-gan
  source code of the paper Graphical Generative Adversarial Networks
  ☆71Updated 5 years ago
• paruby / Wasserstein-Auto-Encoders
  Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761
  ☆37Updated 7 years ago