Alternatives and similar repositories for HexaGAN

Users that are interested in HexaGAN are comparing it to the libraries listed below

• eitanrich / gans-n-gmms
  Official implementation of "On GANs and GMMs"
  ☆66Updated 5 years ago
• ShangyuanTong / PairGAN
  ☆21Updated 5 years ago
• naturomics / DLF
  Code for reproducing results in "Generative Model with Dynamic Linear Flow"
  ☆71Updated 5 years ago
• mzgubic / MINE
  Mutual Information Neural Estimator implemented in Tensorflow
  ☆46Updated 6 years ago
• max-liu-112 / SRGANs-Spectral-Regularization-GANs-
  ☆11Updated 5 years ago
• odegeasslbc / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆41Updated 4 years ago
• balansky / pytorch_gan
  Spectral Normalization and Projection Discriminator
  ☆18Updated 6 years ago
• salu133445 / dan
  Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"
  ☆42Updated 2 years ago
• ZhilZheng / Lr-LiVAE
  Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)
  ☆32Updated 5 years ago
• RahulBhalley / gan-qp.pytorch
  Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"
  ☆31Updated 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
• SSS135 / aiqn-vae
  VAE + Quantile Networks for MNIST
  ☆12Updated 6 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 6 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• eitanrich / torch-mfa
  Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch
  ☆40Updated 2 years ago
• ranery / Bayesian-CycleGAN
  [TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
  ☆46Updated 4 years ago
• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆89Updated 2 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 5 years ago
• flrngel / cpc-tensorflow
  Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"
  ☆64Updated 6 years ago
• shinseung428 / DRS_Tensorflow
  Tensorflow implementation of Discriminator Rejection Sampling
  ☆24Updated 5 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 6 years ago
• weixsong / NormalizingFlow
  Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
  ☆28Updated 7 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆102Updated 5 years ago
• rcalland / deep-INFOMAX
  Chainer implementation of deep-INFOMAX
  ☆34Updated 6 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆88Updated 6 years ago
• tntrung / msgan
  Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".
  ☆37Updated 5 years ago
• mabirck / adaptative-dropout-pytorch
  Pytorch implementation of Adaptative Dropout a.ka Standout.
  ☆12Updated 7 years ago