Alternatives and similar repositories for VIGAN

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

• sharonFogel / CPAC
  Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"
  ☆27Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• eyounx / GANMM
  Mixture of Generative Adversarial Networks for Clustering
  ☆16Updated 7 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆88Updated 6 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 6 years ago
• anonymous-iclr-2019 / acai-iclr-2019
  Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆20Updated 6 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆82Updated last year
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆57Updated 7 years ago
• o-tawab / Variational-Autoencoder-pytorch
  Implementation of a convolutional Variational-Autoencoder model in pytorch.
  ☆74Updated 6 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 6 years ago
• zhenxuan00 / graphical-gan
  source code of the paper Graphical Generative Adversarial Networks
  ☆71Updated 5 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• dcmoyer / inv-rep
  Code for Invariant Rep. Without Adversaries (NIPS 2018)
  ☆35Updated 5 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 7 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 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
• eelxpeng / ltvae-release
  ☆22Updated 5 years ago
• maitek / waae-pytorch
  Wasserstein Adversarial Autoencoder Pytorch
  ☆28Updated 7 years ago
• lsgos / uncertainty-adversarial-paper
  Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'
  ☆61Updated 7 years ago
• tolstikhin / adagan
  AdaGAN: greedy iterative procedure to train mixtures of GANs
  ☆76Updated 7 years ago
• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 9 years ago
• akashgit / VEEGAN
  VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
  ☆40Updated 6 years ago
• FJR-Nancy / joint-cluster-cnn
  A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).
  ☆25Updated 6 years ago
• herandy / DEPICT
  ☆58Updated 7 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆175Updated 7 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 5 years ago