Alternatives and similar repositories for gumbel_lstm:

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

• XuezheMax / mae
  MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
  ☆23Updated 5 years ago
• KyleGoyette / nnRNN
  ☆24Updated 5 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 4 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 6 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 2 years ago
• ron-amit / meta-learning-adjusting-priors
  Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018
  ☆22Updated 5 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 years ago
• mrahtz / humble-gumbel
  Jupyter notebook on Gumbel-max and Gumbel-softmax tricks
  ☆41Updated 2 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 5 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆24Updated 6 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆42Updated 4 years ago
• yikangshen / Ordered-Memory
  This repository contains the code used for Ordered Memory paper
  ☆29Updated 5 years ago
• nke001 / sparse_attentive_backtracking_release
  Code for our paper "Sparse Attentive Backtracking: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding" https://p…
  ☆38Updated 5 years ago
• anirbanl / sparsegen
  Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"
  ☆23Updated 5 years ago
• nttcslab-nlp / doc_lm
  ☆12Updated 6 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆42Updated 7 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• BayesWatch / tf-variational-dropout
  Sparsifying Variational Dropout in Tensorflow
  ☆22Updated 7 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• naoto0804 / pytorch-VAT
  Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
  ☆26Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• wouterkool / ancestral-gumbel-top-k-sampling
  Ancestral Gumbel-Top-k Sampling
  ☆23Updated 4 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 5 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 6 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated 7 months ago