Alternatives and similar repositories for vae-gan-tensorflow:

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

• JeremyCCHsu / tf-vaegan
  VAE-GAN in Tensorflow
  ☆90Updated 5 years ago
• anitan0925 / vaegan
  An implementation of VAEGAN (variational autoencoder + generative adversarial network).
  ☆92Updated 8 years ago
• JonathanRaiman / tensorflow-infogan
  InfoGAN: Interpretable Representation Learning
  ☆153Updated 7 years ago
• tatsy / keras-generative
  Deep generative networks, coded with Keras.
  ☆122Updated 7 years ago
• andersbll / autoencoding_beyond_pixels
  Generative image model with learned similarity measures
  ☆440Updated 8 years ago
• lucabergamini / VAEGAN-PYTORCH
  VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.
  ☆187Updated 7 years ago
• taki0112 / Spectral_Normalization-Tensorflow
  Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)
  ☆141Updated 6 years ago
• minhnhat93 / tf-SNDCGAN
  Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
  ☆250Updated 7 years ago
• jiamings / wgan
  Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
  ☆240Updated 6 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆72Updated 6 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆116Updated 6 years ago
• tund / D2GAN
  Dual Discriminator Generative Adversarial Nets
  ☆62Updated 7 years ago
• pianomania / infoGAN-pytorch
  implement infoGAN using pytorch
  ☆153Updated 6 years ago
• rothk / Stabilizing_GANs
  Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"
  ☆93Updated 7 years ago
• jeffdonahue / bigan
  code for "Adversarial Feature Learning"
  ☆238Updated 2 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
• tkazusa / CVAE-GAN
  ☆86Updated 7 years ago
• andrewliao11 / CoGAN-tensorflow
  Implement Coupled Generative Adversarial Networks in Tensorflow
  ☆101Updated 7 years ago
• xudonmao / LSGAN
  ☆103Updated 7 years ago
• timsainb / Tensorflow-MultiGPU-VAE-GAN
  A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
  ☆441Updated 5 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
• rosinality / sagan-pytorch
  Self-Attention Generative Adversarial Networks Implementation in PyTorch
  ☆74Updated 6 years ago
• zhangqianhui / Conditional-GAN
  Tensorflow implementation for Conditional Convolutional Adversarial Networks.
  ☆222Updated 2 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 6 years ago
• nnUyi / Inception-Score
  Inception score for measuring quality of images generating from GAN
  ☆42Updated 7 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• yzwxx / vae-celebA
  Variational auto-encoder trained on celebA . All rights reserved.
  ☆181Updated 7 years ago
• chrisdonahue / sdgan
  Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"
  ☆95Updated 6 years ago
• clvrai / BicycleGAN-Tensorflow
  A Tensorflow implementation of BicycleGAN.
  ☆101Updated 6 years ago
• zhenxuan00 / graphical-gan
  source code of the paper Graphical Generative Adversarial Networks
  ☆71Updated 5 years ago