Alternatives and similar repositories for Robust-Conditional-GAN

Users that are interested in Robust-Conditional-GAN are comparing it to the libraries listed below

• ap229997 / DRNET
  PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video
  ☆47Updated 5 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆73Updated 7 years ago
• ananyahjha93 / cycle-consistent-vae
  This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…
  ☆72Updated 7 years ago
• zhenxuan00 / graphical-gan
  source code of the paper Graphical Generative Adversarial Networks
  ☆71Updated 6 years ago
• peiwang062 / towards-realistic-predictors
  pytorch implementation for paper, towards realistic predictors
  ☆17Updated 7 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆87Updated 6 years ago
• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆90Updated 3 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆86Updated 6 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆117Updated 7 years ago
• sagiebenaim / OneShotTranslation
  Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
  ☆141Updated 6 years ago
• musikisomorphie / swd
  unsupervised video and image generation
  ☆57Updated 5 years ago
• mahyarkoy / dmgan_release
  Disconnected Manifold Learning for Generative Adversarial Networks.
  ☆13Updated 7 years ago
• ishansd / swg
  Sliced Wasserstein Generator
  ☆39Updated 7 years ago
• kjunelee / WINN
  Wasserstein Introspective Neural Networks (CVPR 2018 Oral)
  ☆58Updated 7 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆123Updated 6 years ago
• pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAE
  Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
  ☆43Updated 5 years ago
• sootlasten / beta-vae
  Beta-VAE implementations in both PyTorch and Tensorflow
  ☆22Updated 7 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 7 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 8 years ago
• fjxmlzn / PacGAN
  [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
  ☆82Updated 5 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
• sungraepark / Adversarial-Dropout
  ☆32Updated 6 years ago
• zilongzheng / CoopNets
  Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching
  ☆27Updated 7 years ago
• dragen1860 / IntroVAE-Pytorch
  Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
  ☆39Updated 7 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 6 years ago
• sagiebenaim / DomainIntersectionDifference
  Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)
  ☆39Updated 5 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• wsnedy / WAE_Pytorch
  Pytorch implementation of Wasserstein Auto-Encoders
  ☆25Updated 7 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆101Updated 7 years ago