ShubhangDesai / rnn-encoder-decoder
PyTorch implementation of recurrent neural network encoder-decoder architecture model for statistical machine translation, as detailed in this paper: https://arxiv.org/pdf/1406.1078.pdf
☆59Updated 5 years ago
Alternatives and similar repositories for rnn-encoder-decoder:
Users that are interested in rnn-encoder-decoder are comparing it to the libraries listed below
- Implementation of Attention-over-Attention Neural Networks for Reading Comprehension (https://arxiv.org/abs/1607.04423) in TensorFlow☆177Updated 8 years ago
- Attention based neural machine translation☆39Updated 8 years ago
- ☆38Updated 7 years ago
- Intent parsing and slot filling in PyTorch with seq2seq + attention☆159Updated 7 years ago
- PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the pa…Updated 6 years ago
- Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.☆120Updated 6 years ago
- ☆149Updated last year
- TensorFlow GAN implementation using Gumbel Softmax☆92Updated 7 years ago
- A tensorflow implementation of Convolutional Neural Networks for Sentence Classification☆76Updated 8 years ago
- The implementation of key value memory networks in tensorflow☆248Updated 6 years ago
- This released code corresponds to TACL paper "attentive convolution". Attentive Convolution aims to generate a vector for two sentences.☆104Updated 7 years ago
- Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing☆79Updated 7 years ago
- Code to train state-of-the-art Neural Machine Translation systems.☆105Updated 8 years ago
- Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow☆186Updated 2 years ago
- For those who want to model the inter-sentence relations, pls use the more powerful code of "Attentive Convolution" in another repository☆90Updated 6 years ago
- Tensorflow implementation of Recursive Neural Networks using LSTM units☆136Updated 8 years ago
- Implement en-fr translation task by implenting seq2seq, encoder-decoder in RNN layers with Attention mechanism and Beamsearch inference d…☆21Updated 7 years ago
- Bi-Directional Block Self-Attention☆123Updated 6 years ago
- fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer☆66Updated 7 years ago
- Generative Adversarial Networks in Neural Machine Translation☆57Updated 7 years ago
- Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.☆87Updated 6 years ago
- PyTorch, LSTM CRF model☆9Updated 7 years ago
- attention model for entailment on SNLI corpus implemented in Tensorflow and Keras☆177Updated 8 years ago
- Implementation of Sequence to Sequence Learning with Neural Networks by Sutskever et al.☆73Updated 9 years ago
- Code of Directional Self-Attention Network (DiSAN)☆312Updated 6 years ago
- Dynamic Memory Network implementation in TensorFlow☆179Updated 6 years ago
- implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow☆55Updated 7 years ago
- generative adversarial nets for neural machine translation☆118Updated 6 years ago
- An example for applying FusionNet to Natural Language Inference☆134Updated 6 years ago
- Implementation of End-to-End Memory Network in PyTorch☆105Updated 7 years ago