Alternatives and similar repositories for MMD-GAN:

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

• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆89Updated 2 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆175Updated 6 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆295Updated 4 years ago
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆206Updated 7 years ago
• godisboy / SN-GAN
  pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
  ☆248Updated 2 years ago
• pianomania / infoGAN-pytorch
  implement infoGAN using pytorch
  ☆153Updated 6 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 5 years ago
• yogeshbalaji / Generate_To_Adapt
  Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
  ☆141Updated 5 years ago
• 9310gaurav / ali-pytorch
  PyTorch implementation of Adversarially Learned Inference (BiGAN).
  ☆80Updated 6 years ago
• mbinkowski / MMD-GAN
  Training MMD GANs.
  ☆86Updated 6 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆201Updated 7 years ago
• fjxmlzn / PacGAN
  [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
  ☆81Updated 4 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• jeffdonahue / bigan
  code for "Adversarial Feature Learning"
  ☆237Updated 2 years ago
• ricvolpi / generalize-unseen-domains
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Updated 4 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆116Updated 6 years ago
• jhjacobsen / pytorch-i-revnet
  i-RevNet Pytorch Code
  ☆391Updated 4 years ago
• salesforce / corr_based_prediction
  This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):
  ☆54Updated 5 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆463Updated 5 years ago
• Britefury / self-ensemble-visual-domain-adapt
  Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'
  ☆193Updated 5 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆203Updated 6 years ago
• daib13 / TwoStageVAE
  ☆233Updated 5 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 6 years ago
• sagiebenaim / OneShotTranslation
  Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
  ☆139Updated 5 years ago
• bhpfelix / Variational-Autoencoder-PyTorch
  Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
  ☆168Updated 7 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆227Updated 6 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆507Updated 6 years ago
• Alexander-H-Liu / UFDN
  A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
  ☆138Updated 6 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆101Updated 6 years ago
• crcrpar / pytorch.sngan_projection
  An unofficial PyTorch implementation of SNGAN (ICLR 2018) and cGANs with projection discriminator (ICLR 2018).
  ☆158Updated 5 years ago