claravania / lstm-pytorch
LSTM Classification using Pytorch
☆75Updated 6 years ago
Alternatives and similar repositories for lstm-pytorch
Users that are interested in lstm-pytorch are comparing it to the libraries listed below
Sorting:
- Text classification based on LSTM on R8 dataset for pytorch implementation☆141Updated 7 years ago
- Word Embedding + LSTM + FC☆161Updated 9 months ago
- Minimal RNN classifier with self-attention in Pytorch☆150Updated 3 years ago
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆133Updated 5 years ago
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆125Updated 3 years ago
- ☆76Updated 5 years ago
- A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)☆46Updated 6 years ago
- Repository for Attention Algorithm☆41Updated 7 years ago
- LSTM and CNN sentiment analysis☆166Updated 7 years ago
- LSTM-based Models for Sentence Classification in PyTorch☆77Updated 4 years ago
- PyTorch DataLoader for seq2seq☆85Updated 6 years ago
- Hierarchical Attention Networks for Document Classification in PyTorch☆36Updated 6 years ago
- Implementation of Hierarchical Attention Networks in PyTorch☆129Updated 6 years ago
- document classification using LSTM + self attention☆112Updated 5 years ago
- Attention-based bidirectional LSTM for Classification Task (ICASSP)☆115Updated 2 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…☆145Updated 6 years ago
- Sequence to Sequence Models with PyTorch☆26Updated 7 years ago
- PyTorch implementation of batched bi-RNN encoder and attention-decoder.☆279Updated 6 years ago
- NLSTM Nested LSTM in Pytorch☆18Updated 7 years ago
- ☆12Updated 8 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆136Updated 4 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆229Updated 5 years ago
- The Annotated Encoder Decoder with Attention☆166Updated 4 years ago
- LSTM and GRU in PyTorch☆260Updated 6 years ago
- Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)☆70Updated 4 years ago
- Semi Supervised Learning for Text-Classification☆83Updated 6 years ago
- Text autoencoder with LSTMs☆260Updated 5 years ago
- Pytorch implementation of a basic language model using Attention in LSTM network☆26Updated 6 years ago
- Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification☆47Updated 7 years ago
- Using Pytorch's nn.Transformer module to create an english to french neural machine translation model.☆78Updated 4 years ago