locuslab / trellisnetLinks
[ICLR'19] Trellis Networks for Sequence Modeling
☆473Updated 6 years ago
Alternatives and similar repositories for trellisnet
Users that are interested in trellisnet are comparing it to the libraries listed below
Sorting:
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- Dilated RNNs in pytorch☆211Updated 6 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆248Updated 6 years ago
- Tensorflow implementation for DilatedRNN☆353Updated 8 years ago
- Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction☆502Updated 4 years ago
- PyTorch implementation of recurrent batch normalization☆243Updated 7 years ago
- Tools for loading standard data sets in machine learning☆205Updated 3 years ago
- TensorFlow implementation of Independently Recurrent Neural Networks☆513Updated 4 years ago
- Latent Alignment and Variational Attention☆327Updated 7 years ago
- Variational Auto-Encoders in a Sequential Setting.☆177Updated 7 years ago
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆134Updated 5 years ago
- PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton☆170Updated 7 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆230Updated 6 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆565Updated 6 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆146Updated 7 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 4 years ago
- Complementary code for the Targeted Dropout paper☆255Updated 6 years ago
- VQ-VAE implementation / pytorch☆183Updated 8 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆432Updated 8 years ago
- pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831☆121Updated 6 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Code for the Eager Translation Model from the paper You May Not Need Attention☆295Updated 6 years ago
- Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).☆263Updated 7 years ago
- PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules☆495Updated 4 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆302Updated 6 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆469Updated 6 years ago
- Wasserstein Auto-Encoders☆507Updated 7 years ago