pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

CRNN with attention to do OCR,add Chinese recognition

Chatbot using Tensorflow (Model is seq2seq) Extend V2.0 ko

use an AI model to write couplet with TensorFlow 2 / 用AI对对联

For sequence-to-sequence beginners. PyTorch-implemented 1DCNN, LSTM, Attention, and Transformers.

Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.

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.

基于Seq2Seq+Attention模型的Textsum文本自动摘要

Chatbot using Seq2Seq model using Tensorflow

This repository contains the code for a speech to speech translation system created from scratch for digits translation from English to Tamil

A few approaches using sequence to sequence (seq2seq) architecture to solve semantice parsing problem

Sequence to sequence learning for GEC task using several deep models.

Seq2Seq model that restores punctuation on English input text.

French to English neural machine translation trained on multi30k dataset.

I replicate and make the original Seq2Seq from PyTorch tutorials to be easy to use and adapt.

Some natural language processing networks from scratch in PyTorch for personal educational purposes.

This repository is base on Pytorch Tutorial with some experiments and refined.

A Chatbot built using TensorFlow which tries to mimic human communication in English. It was trained using the Cornell Movie dataset, and uses an encoder-decoder architecture with long-short-term-memory units.