ifding / seq2seq-pytorchLinks
Sequence to Sequence Models with PyTorch
☆26Updated 7 years ago
Alternatives and similar repositories for seq2seq-pytorch
Users that are interested in seq2seq-pytorch are comparing it to the libraries listed below
Sorting:
- ☆76Updated 5 years ago
- ☆16Updated 7 years ago
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆125Updated 3 years ago
- A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)☆46Updated 6 years ago
- Sequence to Sequence Models in PyTorch☆44Updated last year
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆134Updated 5 years ago
- Using Pytorch's nn.Transformer module to create an english to french neural machine translation model.☆78Updated 5 years ago
- (minimal implementation) BiLSTM-Attention for Relation Classification☆30Updated 7 months ago
- Minimal RNN classifier with self-attention in Pytorch☆150Updated 3 years ago
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆78Updated 4 years ago
- [IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a…☆33Updated 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
- Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with Ten…☆362Updated last year
- PyTorch implementation of Variational LSTM and Monte Carlo dropout.☆56Updated 3 years ago
- LSTM Classification using Pytorch☆77Updated 6 years ago
- Text classification based on LSTM on R8 dataset for pytorch implementation☆141Updated 8 years ago
- Encoding position with the word embeddings.☆83Updated 7 years ago
- document classification using LSTM + self attention☆113Updated 5 years ago
- Sequence to Sequence and attention from scratch using Tensorflow☆29Updated 7 years ago
- Simple implement dilated LSTM, residual LSTM and Attention LSTM (follow the corresponding papers).☆17Updated 5 years ago
- PyTorch implementation of batched bi-RNN encoder and attention-decoder.☆280Updated 6 years ago
- Multi-head attention in PyTorch☆153Updated 6 years ago
- a simple and complete pytorch implementation of neural machine translation system☆13Updated 5 years ago
- seq2seq attention in keras☆39Updated 6 years ago
- An Implementation of Encoder-Decoder model with global attention mechanism.☆32Updated 5 years ago
- PyTorch implementation of batched GRU encoder and decoder.☆30Updated 7 years ago
- A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.☆126Updated 5 years ago
- Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification☆47Updated 7 years ago
- Multi heads attention for image classification☆80Updated 7 years ago
- LSTM and GRU in PyTorch☆262Updated 6 years ago