mrahtz / humble-gumbelLinks
Jupyter notebook on Gumbel-max and Gumbel-softmax tricks
☆41Updated 2 years ago
Alternatives and similar repositories for humble-gumbel
Users that are interested in humble-gumbel are comparing it to the libraries listed below
Sorting:
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- ZForcing Repo☆40Updated 7 years ago
- This repository contains the code used for Ordered Memory paper☆30Updated 5 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- 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
- Experiments with binary LSTM using gumbel-sigmoid☆30Updated 5 years ago
- ☆63Updated 7 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆35Updated 7 years ago
- Gated Orthogonal Recurrent Unit implementation in tensorflow☆34Updated 6 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Adaptive Softmax implementation for PyTorch☆81Updated 6 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆40Updated 6 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- ☆49Updated 7 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- SparseMAP: differentiable sparse structure inference☆112Updated 6 years ago
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Updated 7 years ago
- ☆12Updated 7 years ago
- ☆34Updated 6 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 8 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago