Alternatives and similar repositories for disentanglement-pytorch:

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

• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆348Updated 2 years ago
• rr-learning / disentanglement_dataset
  ☆75Updated 9 months ago
• cianeastwood / qedr
  Quantitative evaluation of disentangled representations
  ☆61Updated 6 years ago
• 1Konny / FactorVAE
  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
  ☆268Updated 6 years ago
• iffsid / disentangling-disentanglement
  ☆89Updated 5 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆238Updated last year
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆227Updated 6 years ago
• PolinaKirichenko / flows_ood
  ☆87Updated 3 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆286Updated 4 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆380Updated 2 years ago
• daib13 / TwoStageVAE
  ☆233Updated 5 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• izmailovpavel / flowgmm
  ☆147Updated 2 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆420Updated 2 years ago
• 1Konny / Beta-VAE
  Pytorch implementation of β-VAE
  ☆534Updated 4 years ago
• EmilienDupont / neural-processes
  Pytorch implementation of Neural Processes for functions and images
  ☆228Updated 3 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), …
  ☆70Updated 2 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 5 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆82Updated 6 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆265Updated last year
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆83Updated 2 years ago
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆91Updated 4 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆463Updated 5 years ago
• GlassyWing / nvae
  An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
  ☆111Updated 3 years ago
• mpatacchiola / self-supervised-relational-reasoning
  Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
  ☆142Updated 10 months ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆203Updated 6 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆101Updated 6 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆463Updated 5 years ago
• ananyahjha93 / cycle-consistent-vae
  This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…
  ☆72Updated 6 years ago