Alternatives and similar repositories for graphical-gan

Users that are interested in graphical-gan are comparing it to the libraries listed below

• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 6 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• LiqunChen0606 / Triangle-GAN
  implementation for NIPS paper Triangle Generative Adversarial Networks
  ☆61Updated 7 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆72Updated 6 years ago
• tkkiran / Robust-Conditional-GAN
  Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018
  ☆40Updated 6 years ago
• bojone / gan-qp
  GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint
  ☆119Updated 5 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆117Updated 6 years ago
• kjunelee / WINN
  Wasserstein Introspective Neural Networks (CVPR 2018 Oral)
  ☆59Updated 7 years ago
• laurent-dinh / nice
  ☆85Updated 10 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• ap229997 / DRNET
  PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video
  ☆47Updated 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
• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 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
• mahyarkoy / dmgan_release
  Disconnected Manifold Learning for Generative Adversarial Networks.
  ☆13Updated 6 years ago
• corenel / pytorch-glow
  PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"
  ☆45Updated 6 years ago
• wsnedy / WAE_Pytorch
  Pytorch implementation of Wasserstein Auto-Encoders
  ☆25Updated 7 years ago
• victor-shepardson / alpha-GAN
  pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…
  ☆80Updated 7 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆63Updated 8 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
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆86Updated 7 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 6 years ago
• edgarriba / ali-pytorch
  Adversarially Learned Inference in Pytorch
  ☆30Updated 8 years ago
• ozansener / GAN
  Collection of GAN models in Pytorch
  ☆16Updated 8 years ago
• dragen1860 / IntroVAE-Pytorch
  Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
  ☆39Updated 6 years ago
• ap229997 / Conditional-Batch-Norm
  Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"
  ☆64Updated 6 years ago
• AshishBora / ambient-gan
  Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"
  ☆90Updated 7 years ago
• sagiebenaim / OneShotTranslation
  Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
  ☆139Updated 6 years ago
• rdevon / cortex
  A machine learning library for PyTorch
  ☆92Updated 2 years ago