Alternatives and similar repositories for VAE-for-Image-Generation

Users that are interested in VAE-for-Image-Generation are comparing it to the libraries listed below

• bhpfelix / Variational-Autoencoder-PyTorch
  Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
  ☆170Updated 7 years ago
• crmaximo / VAEGAN
  Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆54Updated 7 years ago
• lucabergamini / VAEGAN-PYTORCH
  VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.
  ☆189Updated 7 years ago
• 9310gaurav / ali-pytorch
  PyTorch implementation of Adversarially Learned Inference (BiGAN).
  ☆80Updated 6 years ago
• hmishfaq / DDSM-TVAE
  Triplet Variational Autoencoder experiments for DDSM dataset
  ☆22Updated 7 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• pianomania / infoGAN-pytorch
  implement infoGAN using pytorch
  ☆153Updated 6 years ago
• o-tawab / Variational-Autoencoder-pytorch
  Implementation of a convolutional Variational-Autoencoder model in pytorch.
  ☆74Updated 6 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆57Updated 7 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆197Updated 7 years ago
• zhangqianhui / vae-gan-tensorflow
  Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"
  ☆127Updated 6 years ago
• ksharsha / CifarVAE
  Variational Auto Encoder
  ☆39Updated 8 years ago
• seangal / dcgan_vae_pytorch
  dcgan combined with vae in pytorch!
  ☆117Updated 6 years ago
• brain-research / acai
  Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆244Updated 6 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆295Updated 4 years ago
• ShengjiaZhao / MMD-Variational-Autoencoder
  ☆108Updated 7 years ago
• sksq96 / pytorch-vae
  A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
  ☆299Updated 5 years ago
• ChunyuanLI / MNIST_Inception_Score
  Training a MNIST classifier, and use it to compute inception score (ICP)
  ☆27Updated 7 years ago
• jeffdonahue / bigan
  code for "Adversarial Feature Learning"
  ☆238Updated 2 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆72Updated 6 years ago
• anitan0925 / vaegan
  An implementation of VAEGAN (variational autoencoder + generative adversarial network).
  ☆92Updated 8 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 6 years ago
• daib13 / TwoStageVAE
  ☆237Updated 6 years ago
• baudm / vaegan-celebs-keras
  Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)
  ☆39Updated 5 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆88Updated 6 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 7 years ago
• JeremyCCHsu / tf-vaegan
  VAE-GAN in Tensorflow
  ☆90Updated 6 years ago
• LynnHo / VAE-Tensorflow
  (beta-)VAE Tensorflow
  ☆50Updated 6 years ago
• timsainb / GAIA
  Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…
  ☆78Updated 5 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 5 years ago