Alternatives and similar repositories for joint-vae:

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

• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆463Updated 5 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆577Updated 3 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆346Updated 2 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆195Updated 6 years ago
• brain-research / acai
  Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆244Updated 6 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆277Updated 2 years ago
• daib13 / TwoStageVAE
  ☆233Updated 5 years ago
• google-deepmind / dsprites-dataset
  Dataset to assess the disentanglement properties of unsupervised learning methods
  ☆489Updated 4 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆224Updated 6 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆298Updated 7 years ago
• 1Konny / Beta-VAE
  Pytorch implementation of β-VAE
  ☆532Updated 4 years ago
• iffsid / disentangling-disentanglement
  ☆89Updated 5 years ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆707Updated 4 years ago
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆347Updated 3 years ago
• 1Konny / FactorVAE
  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
  ☆265Updated 6 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆357Updated 4 years ago
• jhjacobsen / pytorch-i-revnet
  i-RevNet Pytorch Code
  ☆391Updated 3 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆418Updated 2 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆137Updated 4 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆215Updated 7 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆211Updated 4 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆237Updated last year
• neocxi / pixelsnail-public
  ☆124Updated 6 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆265Updated last year
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆379Updated 2 years ago
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆92Updated 3 years ago
• nakosung / VQ-VAE
  VQ-VAE implementation / pytorch
  ☆181Updated 7 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆187Updated 5 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆295Updated 4 years ago
• hiwonjoon / tf-vqvae
  Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
  ☆259Updated 6 years ago