Alternatives and similar repositories for wae

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

• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆295Updated 4 years ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆707Updated 5 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆467Updated 6 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆464Updated 6 years ago
• Naresh1318 / Adversarial_Autoencoder
  A wizard's guide to Adversarial Autoencoders
  ☆434Updated 3 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆198Updated 7 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆213Updated 5 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆432Updated 8 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆351Updated 2 years ago
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆210Updated 7 years ago
• cdoersch / vae_tutorial
  Caffe code to accompany my Tutorial on Variational Autoencoders
  ☆514Updated 8 years ago
• musyoku / adversarial-autoencoder
  Chainer implementation of adversarial autoencoder (AAE)
  ☆257Updated 7 years ago
• RuiShu / vae-clustering
  Unsupervised clustering with (Gaussian mixture) VAEs
  ☆298Updated 8 years ago
• OctoberChang / MMD-GAN
  MMD-GAN: Towards Deeper Understanding of Moment Matching Network
  ☆201Updated last year
• fducau / AAE_pytorch
  ☆200Updated 8 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆215Updated 7 years ago
• andersbll / autoencoding_beyond_pixels
  Generative image model with learned similarity measures
  ☆442Updated 8 years ago
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆206Updated 7 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆228Updated 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
• Kaixhin / Autoencoders
  Torch implementations of various types of autoencoders
  ☆472Updated 7 years ago
• jeffdonahue / bigan
  code for "Adversarial Feature Learning"
  ☆238Updated 3 years ago
• dpkingma / nips14-ssl
  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
  ☆515Updated 10 years ago
• slim1017 / VaDE
  Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
  ☆304Updated 7 years ago
• 1Konny / FactorVAE
  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
  ☆275Updated 7 years ago
• ShengjiaZhao / MMD-Variational-Autoencoder
  ☆109Updated 7 years ago
• 1Konny / Beta-VAE
  Pytorch implementation of β-VAE
  ☆548Updated 4 years ago
• psanch21 / VAE-GMVAE
  This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
  ☆210Updated 5 years ago
• takerum / vat_tf
  Virtual adversarial training with Tensorflow
  ☆252Updated 7 years ago
• daib13 / TwoStageVAE
  ☆238Updated 6 years ago