ma2rten / seq2seq
Implementation of Sequence to Sequence Learning with Neural Networks by Sutskever et al.
☆72Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for seq2seq
- Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"☆194Updated 3 years ago
- Implementation of Attention-over-Attention Neural Networks for Reading Comprehension (https://arxiv.org/abs/1607.04423) in TensorFlow☆178Updated 7 years ago
- For those who want to model the inter-sentence relations, pls use the more powerful code of "Attentive Convolution" in another repository☆92Updated 6 years ago
- tensorflow rewrite of Yoon Kim's lstm-char-cnn☆215Updated 6 years ago
- Simple Tensorflow Implementation of "A Structured Self-attentive Sentence Embedding" (ICLR 2017)☆92Updated 6 years ago
- This released code corresponds to TACL paper "attentive convolution". Attentive Convolution aims to generate a vector for two sentences.☆105Updated 6 years ago
- Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)☆82Updated 2 years ago
- Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in Tensorflow☆143Updated 7 years ago
- Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks☆137Updated 7 years ago
- ☆150Updated last year
- It is a tensorflow script for multi-task learning implementation of Kim's paper : Convolutional Neural Networks for Sentence Classificati…☆106Updated 8 years ago
- An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorf…☆71Updated 7 years ago
- A simple implementation of attention based encoder-decoder for nmt.☆47Updated 7 years ago
- A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.☆140Updated 6 years ago
- Hierarchical Attention Network for document classification☆23Updated 6 years ago
- Dynamic Memory Network implementation in TensorFlow☆180Updated 6 years ago
- Multi-Task Learning in NLP☆95Updated 6 years ago
- 使用Theano实现的一些RNN代码,包括最基本的RNN,LSTM,以及部分Attention模型,如论文MLSTM等☆31Updated 7 years ago
- PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the pa…☆0Updated 6 years ago
- (arXiv:1509.06664) Reasoning about Entailment with Neural Attention.☆45Updated 6 years ago
- Code of Directional Self-Attention Network (DiSAN)☆313Updated 6 years ago
- TensorFlow implementation of 'Attention Is All You Need (2017. 6)'☆350Updated 6 years ago
- Intent parsing and slot filling in PyTorch with seq2seq + attention☆160Updated 7 years ago
- Adversarial Training for Neural Relation Extraction☆110Updated 6 years ago
- A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)☆303Updated 7 years ago
- ☆114Updated 6 years ago
- Cleaned code for paper "Natural Language Inference over Interaction Space"☆250Updated last year
- The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017☆148Updated 6 years ago
- Keras (re)implementation of paper "Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR, 2015"☆68Updated 7 years ago
- Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq☆276Updated 7 years ago