Alternatives and similar repositories for Gumbel-Softmax-VAE-in-tensorflow

Users that are interested in Gumbel-Softmax-VAE-in-tensorflow are comparing it to the libraries listed below

• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆108Updated 8 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 7 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆101Updated 9 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• teganmaharaj / zoneout
  Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.
  ☆78Updated 7 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 years ago
• jmtomczak / vae_householder_flow
  Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
  ☆76Updated 8 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆63Updated 8 years ago
• eugenium / MMD
  MMD and Relative MMD test
  ☆31Updated 9 years ago
• yujiali / gmmn
  Generative moment matching networks
  ☆150Updated 8 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆206Updated 9 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆90Updated 9 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆88Updated 7 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• AMLab-Amsterdam / SEVDL_MGP
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆30Updated 4 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• jych / cle
  ☆89Updated 8 years ago
• BayesWatch / tf-variational-dropout
  Sparsifying Variational Dropout in Tensorflow
  ☆22Updated 7 years ago
• takerum / vat
  Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
  ☆110Updated 8 years ago
• guojunq / glsgan
  Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)
  ☆46Updated 8 years ago