abduallahmohamed / Nested-LSTM-NLSTM-PytorchLinks
NLSTM Nested LSTM in Pytorch
☆17Updated 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
Sorting:
- ☆40Updated 7 years ago
- Keras implementation of “Gated Linear Unit ”☆23Updated last year
- ☆38Updated 8 years ago
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆125Updated 4 years ago
- Highway network implemented in pytorch☆80Updated 8 years ago
- The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18☆33Updated 7 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆83Updated 7 years ago
- codes for Variational Autoencoder for Semi-supervised Text Classification☆40Updated 7 years ago
- Code for "Strong Baselines for Neural Semi-supervised Learning under Domain Shift" (Ruder & Plank, 2018 ACL)☆61Updated 2 years ago
- Bi-Directional Block Self-Attention☆122Updated 7 years ago
- DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding☆26Updated 7 years ago
- SRU implement in pytorch(Training RNNs as Fast as CNNs)☆48Updated 2 years ago
- A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)☆45Updated 6 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- ☆11Updated 7 years ago
- This is the code for the paper 'Quaternion Recurrent Neural Networks'.☆59Updated 6 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
- Experiments using feedforward networks with attention☆46Updated 9 years ago
- Variational Attention for Sequence to Sequence Models☆20Updated 7 years ago
- Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification☆47Updated 7 years ago
- PyTorch implementation of batched bi-RNN encoder and attention-decoder.☆281Updated 6 years ago
- LSTM-based Models for Sentence Classification in PyTorch☆78Updated 5 years ago
- A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.☆103Updated 3 years ago
- My implementation of "Hierarchical Attention Networks for Document Classification" in Keras☆26Updated 7 years ago
- Reproducing Character-Level-Language-Modeling with Deeper Self-Attention in PyTorch☆62Updated 6 years ago
- Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling☆36Updated 7 years ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- Quasi-RNN for language modeling☆57Updated 8 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
- 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