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

This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

Korean English NMT(Neural Machine Translation) with Gluon

Key value memory network implemented using keras

C# Sequence to Sequence Learning with Attention using LSTM neural Networks

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

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

load point forecast

Chatbot using Seq2Seq model using Tensorflow

Generates summary of a given news article. Used attention seq2seq encoder decoder model.

Experimentation of converting English to Pig Latin via a variety of Vanilla-seq2seq networks, Attention-mechanism based models and Transformer based Machine translation system.

French to English neural machine translation trained on multi30k dataset.

基于Seq2Seq+Attention模型的Textsum文本自动摘要

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

Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

Generative adversarial imitation learning to produce a proxy for the reward function present in dialogue.

A Seq2Seq Attention chatbot deployed on Heroku