yandexdataschool / gumbel_lstm
Experiments with binary LSTM using gumbel-sigmoid
☆30Updated 4 years ago
Alternatives and similar repositories for gumbel_lstm:
Users that are interested in gumbel_lstm are comparing it to the libraries listed below
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 4 years ago
- Code for our paper "Sparse Attentive Backtracking: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding" https://p…☆38Updated 6 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- 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
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- ☆24Updated 5 years ago
- ☆14Updated 5 years ago
- ZForcing Repo☆40Updated 7 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆27Updated 7 years ago
- pytorch implementation of VAE-Gumble-Softmax☆62Updated 4 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- This repository contains the code used for Ordered Memory paper☆29Updated 5 years ago
- Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"☆23Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- ☆24Updated 3 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Codes for "Towards Binary-Valued Gates for Robust LSTM Training".☆76Updated 6 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 6 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 5 years ago
- ☆65Updated 8 months ago
- Jupyter notebook on Gumbel-max and Gumbel-softmax tricks☆41Updated 2 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- ☆16Updated 5 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago