Alternatives and similar repositories for humble-gumbel

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

• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 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 7 years ago
• harvardnlp / sa-vae
  ☆153Updated 7 years ago
• wouterkool / stochastic-beam-search
  Implementation of Stochastic Beam Search using Fairseq
  ☆104Updated 6 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 9 years ago
• yandexdataschool / gumbel_lstm
  Experiments with binary LSTM using gumbel-sigmoid
  ☆30Updated 5 years ago
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• rosinality / adaptive-softmax-pytorch
  Adaptive Softmax implementation for PyTorch
  ☆81Updated 6 years ago
• imatge-upc / danifojo-2018-repeatrnn
  Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
  ☆35Updated 7 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• pemami4911 / REBAR-pytorch
  Implementation of REBAR in PyTorch
  ☆17Updated 7 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 5 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 6 years ago
• XuezheMax / mae
  MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
  ☆23Updated 6 years ago
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆40Updated 6 years ago
• vene / sparsemap
  SparseMAP: differentiable sparse structure inference
  ☆112Updated 6 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 5 years ago
• pawni / BayesByHypernet
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• yaroslavvb / kfac_pytorch
  ☆133Updated 7 years ago
• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆65Updated 5 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 7 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• yikangshen / Ordered-Memory
  This repository contains the code used for Ordered Memory paper
  ☆30Updated 5 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• mengf1 / PAL
  Policy based Active Learning with DQN (EMNLP-2017)
  ☆90Updated 7 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 6 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 7 years ago
• TimDettmers / transformer-xl
  ☆64Updated 5 years ago