Alternatives and similar repositories for VAE-Tensorflow:

Users that are interested in VAE-Tensorflow are comparing it to the libraries listed below

• igul222 / PixelVAE
  Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013
  ☆93Updated 7 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 6 years ago
• biuyq / CT-GAN
  ☆48Updated 6 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• edgarriba / ali-pytorch
  Adversarially Learned Inference in Pytorch
  ☆30Updated 8 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆88Updated 7 years ago
• laurent-dinh / nice
  ☆84Updated 10 years ago
• maitek / waae-pytorch
  Wasserstein Adversarial Autoencoder Pytorch
  ☆27Updated 7 years ago
• RuiShu / vae-experiments
  Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…
  ☆62Updated 8 years ago
• paruby / Wasserstein-Auto-Encoders
  Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761
  ☆37Updated 7 years ago
• zhenxuan00 / graphical-gan
  source code of the paper Graphical Generative Adversarial Networks
  ☆71Updated 5 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆72Updated 6 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆86Updated 6 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆116Updated 6 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆197Updated 6 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
• tomsercu / FisherGAN
  Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675
  ☆23Updated 7 years ago
• chaitanya100100 / VAE-for-Image-Generation
  Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…
  ☆123Updated 6 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆63Updated 8 years ago
• LynnHo / f-GAN-Tensorflow
  f-GAN Tensorflow f-GAN: Training Generative Neural Samplers Using Variational Divergence Minimization
  ☆11Updated 6 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆101Updated 9 years ago
• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆89Updated 2 years ago
• JonathanRaiman / tensorflow-infogan
  InfoGAN: Interpretable Representation Learning
  ☆153Updated 8 years ago
• brain-research / acai
  Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆245Updated 6 years ago
• zhangqianhui / vae-gan-tensorflow
  Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"
  ☆127Updated 6 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• snowkylin / rnn-vae
  Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
  ☆39Updated 8 years ago
• pianomania / infoGAN-pytorch
  implement infoGAN using pytorch
  ☆154Updated 6 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆215Updated 7 years ago
• val-iisc / deligan
  This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversaria…
  ☆111Updated 7 years ago