Alternatives and similar repositories for gumbel-softmax:

Users that are interested in gumbel-softmax are comparing it to the libraries listed below

• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆215Updated 7 years ago
• dpkingma / nips14-ssl
  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
  ☆513Updated 10 years ago
• jakezhaojb / ARAE
  Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
  ☆398Updated 5 years ago
• y0ast / VAE-Torch
  Implementation of Variational Auto-Encoder in Torch7
  ☆266Updated 8 years ago
• RuiShu / vae-clustering
  Unsupervised clustering with (Gaussian mixture) VAEs
  ☆298Updated 8 years ago
• nakosung / VQ-VAE
  VQ-VAE implementation / pytorch
  ☆180Updated 7 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆213Updated 5 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆98Updated 8 years ago
• hiwonjoon / tf-vqvae
  Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
  ☆261Updated 7 years ago
• y0ast / VAE-TensorFlow
  Implementation of a Variational Auto-Encoder in TensorFlow
  ☆209Updated 8 years ago
• yujiali / gmmn
  Generative moment matching networks
  ☆149Updated 8 years ago
• harvardnlp / sa-vae
  ☆153Updated 7 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆507Updated 6 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆101Updated 9 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆206Updated 9 years ago
• ikostrikov / pytorch-meta-optimizer
  A PyTorch implementation of Learning to learn by gradient descent by gradient descent
  ☆313Updated 6 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆463Updated 5 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆116Updated 8 years ago
• YongfeiYan / Gumbel_Softmax_VAE
  PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
  ☆208Updated 6 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
• bayesgroup / variational-dropout-sparsifies-dnn
  Sparse Variational Dropout, ICML 2017
  ☆312Updated 4 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆197Updated 6 years ago
• takerum / vat_tf
  Virtual adversarial training with Tensorflow
  ☆251Updated 6 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• kimiyoung / ssl_bad_gan
  Good Semi-Supervised Learning That Requires a Bad GAN
  ☆180Updated 7 years ago
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆210Updated 7 years ago
• L0SG / relational-rnn-pytorch
  An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
  ☆245Updated 6 years ago
• cdoersch / vae_tutorial
  Caffe code to accompany my Tutorial on Variational Autoencoders
  ☆512Updated 8 years ago
• RuiShu / vae-experiments
  Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…
  ☆62Updated 8 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆229Updated 6 years ago