Minimalist NMT for educational purposes

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

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.

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.

Paper Implementation about Attention Mechanism in Neural Network

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

ICLR_2018_Reproducibility_Challenge : Sketch-RNN

The sequence-to sequence model implemented by pytorch

REST API for training and prediction of seq2seq model

French to English neural machine translation trained on multi30k dataset.

Interpretation for english autoencoder (seq2seq model).

💬 Sequence to Sequence from Scratch Using Pytorch

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

한글을 영어로 번역하는 자연어처리 모델 스터디입니다.