seq2seq-pytorch

Tixierae/deep_learning_NLP

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

shashwath94/Hierarchical-Seq2Seq

A PyTorch implementation of the hierarchical encoder-decoder architecture (HRED) introduced in Sordoni et al (2015). It is a hierarchical encoder-decoder architecture for modeling conversation triples in the MovieTriples dataset. This version of the model is built for the MovieTriples dataset.

gionanide/Neural_Machine_Translation

Neural Machine Translation using LSTMs and Attention mechanism. Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism.

chrisbangun/pytorch-seq2seq_with_attention

Paper Implementation about Attention Mechanism in Neural Network

ndalton12/bert-seq2seq

dilettacal/nmt_seq2seq

Repository containing the code to my bachelor thesis about Neural Machine Translation

kalifou/ICLR_2018_Reproducibility_Challenge

ICLR_2018_Reproducibility_Challenge : Sketch-RNN

WenjieWWJ/Pytorch_Seq2seq

The sequence-to sequence model implemented by pytorch

hash2430/French_EN_NMT

French to English neural machine translation trained on multi30k dataset.

msank00/api_seq2seq

REST API for training and prediction of seq2seq model

ZHANG45/seq2seq

GeekTemo/sequence-to-sequence-from-scratch

:speech_balloon: Sequence to Sequence from Scratch Using Pytorch

itsmystyle/autoencoder-interpretation

Interpretation for english autoencoder (seq2seq model).

jayden5744/NMT_Korean_To_English

한글을 영어로 번역하는 자연어처리 모델 스터디입니다.

Shandilya21/papers_implemetation

Implementation of Selected Published Papers from AI, RL, NLP Conferences and reputed Journals