Alternatives and similar repositories for Variational-Autoencoder-pytorch

Users that are interested in Variational-Autoencoder-pytorch are comparing it to the libraries listed below

• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆85Updated 6 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆87Updated 6 years ago
• ananyahjha93 / multi-level-vae
  This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …
  ☆71Updated 3 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 6 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• bhpfelix / Variational-Autoencoder-PyTorch
  Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
  ☆170Updated 7 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆57Updated 7 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆205Updated 7 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆296Updated 5 years ago
• yatindandi / Disentangled-Sequential-Autoencoder
  Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…
  ☆106Updated 6 years ago
• maitek / waae-pytorch
  Wasserstein Adversarial Autoencoder Pytorch
  ☆27Updated 7 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• lucabergamini / VAEGAN-PYTORCH
  VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.
  ☆190Updated 7 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆215Updated 5 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆72Updated 6 years ago
• nitarshan / variational-autoencoder
  PyTorch implementation of "Auto-Encoding Variational Bayes"
  ☆41Updated 8 years ago
• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆154Updated 5 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 7 years ago
• sootlasten / beta-vae
  Beta-VAE implementations in both PyTorch and Tensorflow
  ☆22Updated 7 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 6 years ago
• hui-po-wang / Pytorch-VAE-GAN
  Pytorch implementation of Autoencoding beyond Pixels Using a Learned Similarity Metric
  ☆29Updated 7 years ago
• fducau / AAE_pytorch
  ☆200Updated 8 years ago
• OctoberChang / MMD-GAN
  MMD-GAN: Towards Deeper Understanding of Moment Matching Network
  ☆201Updated 2 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 7 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆122Updated 6 years ago
• sagelywizard / snail
  A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper
  ☆98Updated 7 years ago
• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆90Updated 2 years ago
• yogeshbalaji / Generate_To_Adapt
  Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
  ☆142Updated 6 years ago