OctoberChang / MMD-GAN

Related projects: ⓘ

• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆89Updated last year
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆206Updated 6 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 6 years ago
• pianomania / infoGAN-pytorch
  implement infoGAN using pytorch
  ☆151Updated 5 years ago
• yogeshbalaji / Generate_To_Adapt
  Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
  ☆142Updated 5 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆117Updated 5 years ago
• 9310gaurav / ali-pytorch
  PyTorch implementation of Adversarially Learned Inference (BiGAN).
  ☆80Updated 6 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆293Updated 4 years ago
• godisboy / SN-GAN
  pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
  ☆245Updated 2 years ago
• 1Konny / WAE-pytorch
  ☆67Updated 5 years ago
• jeffdonahue / bigan
  code for "Adversarial Feature Learning"
  ☆236Updated 2 years ago
• mbinkowski / MMD-GAN
  Training MMD GANs.
  ☆85Updated 6 years ago
• Britefury / self-ensemble-visual-domain-adapt
  Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'
  ☆192Updated 5 years ago
• lucabergamini / VAEGAN-PYTORCH
  VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.
  ☆182Updated 6 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆199Updated 7 years ago
• kimiyoung / ssl_bad_gan
  Good Semi-Supervised Learning That Requires a Bad GAN
  ☆182Updated 6 years ago
• voletiv / self-attention-GAN-pytorch
  This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.
  ☆170Updated 2 weeks ago
• mingyuliutw / CoGAN
  ☆285Updated 6 years ago
• fjxmlzn / PacGAN
  [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
  ☆81Updated 3 years ago
• ricvolpi / generalize-unseen-domains
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Updated 4 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆99Updated 5 years ago
• bhpfelix / Variational-Autoencoder-PyTorch
  Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
  ☆164Updated 7 years ago
• benathi / fastswa-semi-sup
  Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
  ☆185Updated 5 years ago
• jzbontar / pixelcnn-pytorch
  ☆121Updated 4 years ago
• erictzeng / adda
  ☆224Updated 5 years ago
• jhjacobsen / pytorch-i-revnet
  i-RevNet Pytorch Code
  ☆389Updated 3 years ago
• zhenxuan00 / triple-gan
  See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
  ☆226Updated 4 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆505Updated 6 years ago
• ricvolpi / adversarial-feature-augmentation
  Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
  ☆128Updated 5 years ago
• Alexander-H-Liu / UFDN
  A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
  ☆135Updated 5 years ago