abduallahmohamed / Nested-LSTM-NLSTM-Pytorch
NLSTM Nested LSTM in Pytorch
☆18Updated 7 years ago
Alternatives and similar repositories for Nested-LSTM-NLSTM-Pytorch:
Users that are interested in Nested-LSTM-NLSTM-Pytorch are comparing it to the libraries listed below
- SRU implement in pytorch（Training RNNs as Fast as CNNs）☆46Updated 2 years ago
- The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18☆33Updated 6 years ago
- Keras implementation of “Gated Linear Unit ”☆23Updated last year
- ☆40Updated 6 years ago
- ☆38Updated 7 years ago
- DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding☆26Updated 6 years ago
- Bi-Directional Block Self-Attention☆123Updated 6 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆81Updated 6 years ago
- TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"☆54Updated 5 years ago
- codes for Variational Autoencoder for Semi-supervised Text Classification☆40Updated 6 years ago
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆125Updated 3 years ago
- My implementation of "Hierarchical Attention Networks for Document Classification" in Keras☆26Updated 7 years ago
- A Structured Self-attentive Sentence Embedding Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshu…☆11Updated 7 years ago
- Implement modern LSTM cell by tensorflow and test them by language modeling task for PTB. Highway State Gating, Hypernets, Recurrent High…☆30Updated 6 years ago
- Highway networks implemented in PyTorch.☆56Updated 8 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- This is the code for the paper 'Quaternion Recurrent Neural Networks'.☆58Updated 6 years ago
- Leveraging Local and Global Patterns for Self-Attention Networks☆12Updated 5 years ago
- Reproducing Character-Level-Language-Modeling with Deeper Self-Attention in PyTorch☆61Updated 6 years ago
- Quasi-RNN for language modeling☆57Updated 8 years ago
- Code for reversible recurrent neural networks☆39Updated 6 years ago
- Highway network implemented in pytorch☆80Updated 8 years ago
- Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)☆70Updated 4 years ago
- This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…☆51Updated 7 years ago
- Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow☆49Updated 6 years ago
- A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.☆99Updated 3 years ago
- Collection of custom layers and utility functions for Keras which are missing in the main framework.☆62Updated 4 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 3 years ago
- Layer normalization implemented in Keras☆60Updated 3 years ago
- Deep Transfer Reinforcement Learning for Text Summarization☆42Updated 6 years ago