tm4roon / pytorch-seq2seqLinks
An Implementation of Encoder-Decoder model with global attention mechanism.
☆32Updated 6 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 4 years ago
- ☆76Updated 5 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
- A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)☆45Updated 6 years ago
- Minimal RNN classifier with self-attention in Pytorch☆152Updated 3 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆137Updated 7 years ago
- document classification using LSTM + self attention☆114Updated 5 years ago
- Word Embedding + LSTM + FC☆160Updated last year
- A wrapper layer for stacking layers horizontally☆228Updated 3 years ago
- PyTorch tutorial for learners☆120Updated 5 years ago
- (minimal implementation) BiLSTM-Attention for Relation Classification☆31Updated 10 months 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
- All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.☆234Updated 5 years ago
- Attention-based bidirectional LSTM for Classification Task (ICASSP)☆116Updated 2 years ago
- Multi heads attention for image classification☆79Updated 7 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Updated 6 years ago
- Using Pytorch's nn.Transformer module to create an english to french neural machine translation model.☆78Updated 5 years ago
- LSTM and GRU in PyTorch☆264Updated 6 years ago
- This is my reading list for my PhD in AI, NLP, Deep Learning and more.☆175Updated 4 years ago
- some basic deep learning models/method for nlp, text classification.☆79Updated 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
- Library of state-of-the-art models (PyTorch) for NLP tasks☆110Updated last year
- TensorFlow implementation of focal loss☆191Updated 4 years ago
- Hierarchical Attention Networks for Document Classification in Keras☆78Updated 7 years ago
- Binary and Categorical Focal loss implementation in Keras.☆281Updated 10 months ago
- Keras Layer implementation of Attention for Sequential models☆442Updated 2 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆90Updated last year
- PyTorch implementation for Seq2Seq model with attention and Greedy Search / Beam Search for neural machine translation☆58Updated 4 years ago
- PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the pa…☆39Updated 8 years ago