Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

中文语料小数据：Some useful Chinese corpus datasets

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

A neural network model for Chinese named entity recognition

Java read Tensorflow model

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

My implementaion of the paper "Recurrent Convolutional Neural Networks for Text Classification"

A general-purpose encoder-decoder framework for Tensorflow

Hierarchical Attention Network for Document Classification

Command-line tool to extract a ranked list of relevant keywords from a corpus with the option of using either topic modeling or tf-idf scores.

http://sentipred.heroku.com

Models built with TensorFlow

Deep Learning Book Chinese Translation

使用TensorFlow实现的Sequence to Sequence的聊天机器人模型

Deep Learning Chinese Word Segment

CNN for Chinese Text Classification in Tensorflow

A java classifier based on the naive Bayes approach.

My love story with MaryNee

Library for fast text representation and classification.

A little word cloud generator in Python

Implementation of paper: Deng K, Bol P K, Li K J, et al. On the unsupervised analysis of domain-specific Chinese texts[J]. Proceedings of the National Academy of Sciences, 2016: 201516510.

Implementation of Newest RNN and Seq2Seq Features

Node2vec with tensorflow

Named Entity Recognition (NER) models (neural and sparse) implemented based on package https://github.com/SUTDNLP/LibN3L

A simple CNN implementation in Keras.

implementation of http://www.cse.cuhk.edu.hk/~leojia/projects/pencilsketch/npar12_pencil.pdf