tm4roon / pytorch-seq2seqLinks
An Implementation of Encoder-Decoder model with global attention mechanism.
☆32Updated 5 years ago
Alternatives and similar repositories for pytorch-seq2seq
Users that are interested in pytorch-seq2seq are comparing it to the libraries listed below
Sorting:
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆125Updated 3 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- Minimal RNN classifier with self-attention in Pytorch☆150Updated 3 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
- ☆76Updated 5 years ago
- (minimal implementation) BiLSTM-Attention for Relation Classification☆30Updated 7 months ago
- A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)☆46Updated 6 years ago
- PyTorch tutorial for learners☆121Updated 5 years ago
- document classification using LSTM + self attention☆113Updated 5 years ago
- Word Embedding + LSTM + FC☆161Updated last year
- some basic deep learning models/method for nlp, text classification.☆79Updated 5 years ago
- Text classification based on LSTM on R8 dataset for pytorch implementation☆141Updated 8 years ago
- Sequence to Sequence Models with PyTorch☆26Updated 7 years ago
- my codes for learning attention mechanism☆50Updated 5 years ago
- Attention-based bidirectional LSTM for Classification Task (ICASSP)☆115Updated 2 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Updated 5 years ago
- Hierarchical Attention Networks for Document Classification in Keras☆78Updated 6 years ago
- Multi-head attention in PyTorch☆153Updated 6 years ago
- Multi Task Learning example with Keras☆27Updated 6 years ago
- Multi heads attention for image classification☆80Updated 7 years ago
- Library of state-of-the-art models (PyTorch) for NLP tasks☆110Updated last year
- A novel method for few shot learning☆52Updated 5 years ago
- A wrapper layer for stacking layers horizontally☆228Updated 3 years ago
- All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.☆231Updated 5 years ago
- A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.☆126Updated 5 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
- A bidirectional LSTM with attention for multiclass/multilabel text classification.☆173Updated 11 months ago
- Seq2seq using LSTM with attention from Luong et al☆10Updated 6 years ago
- tensorflow implementation of GHM-C Loss☆12Updated 6 years ago
- [IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a…☆33Updated 6 years ago