Alternatives and similar repositories for Gumbel_Softmax_VAE

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

• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆63Updated 5 years ago
• 1Konny / VQ-VAE
  Pytorch Implementation of "Neural Discrete Representation Learning"
  ☆92Updated 7 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆207Updated 7 years ago
• g1910 / HyperNetworks
  PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
  ☆276Updated 4 years ago
• HuajieShao / ControlVAE-ICML2020
  This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation,…
  ☆95Updated 2 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆102Updated 3 years ago
• sungyubkim / MINE-Mutual-Information-Neural-Estimation-
  A pytorch implementation of MINE(Mutual Information Neural Estimation)
  ☆350Updated 6 years ago
• nadavbh12 / VQ-VAE
  Minimalist implementation of VQ-VAE in Pytorch
  ☆556Updated 4 years ago
• paultsw / nice_pytorch
  Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
  ☆123Updated 7 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆283Updated 3 years ago
• KrisKorrel / sparsemax-pytorch
  Implementation of Sparsemax activation in Pytorch
  ☆166Updated 5 years ago
• 1Konny / WAE-pytorch
  ☆66Updated 6 years ago
• DuaneNielsen / DeepInfomaxPytorch
  Learning deep representations by mutual information estimation and maximization
  ☆322Updated 6 years ago
• haofuml / cyclical_annealing
  ☆198Updated 3 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆190Updated 6 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆205Updated 7 years ago
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆148Updated 2 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆237Updated 6 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆297Updated 5 years ago
• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆77Updated 5 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆88Updated 7 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
• daib13 / TwoStageVAE
  ☆238Updated 6 years ago
• pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAE
  Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
  ☆43Updated 5 years ago
• tianheyu927 / PCGrad
  Code for "Gradient Surgery for Multi-Task Learning"
  ☆341Updated 5 years ago
• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆155Updated 6 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆39Updated 7 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆380Updated 5 years ago
• 1Konny / FactorVAE
  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
  ☆282Updated 7 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆351Updated 3 years ago