xiongshufeng Goto Github PK

keras-genomics

Perform hyper-parameter tuning, training, testing and prediction with Keras

keras-text-summarization

Text summarization using seq2seq in Keras

keras_seq2seq

Keras implementation of some sequence to sequence models.

kgqa-based-on-medicine

基于医药知识图谱的智能问答系统

knowledgeableprompttuning

kpt code

korean-nlp

korean natural language processing

language_model

lawcrimemining

Law Crime Mining Based on Corpus build and content analysis by NLP methods. 基于领域语料库构建与NLP方法的裁判文书与犯罪案例文本挖掘项目

lbldm-demo

Log-Bilinear Document Model

leakgan

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

learn-english-with-friends

🎉排版好看的老友记剧本PDF和每一集的音频，用于学习英语~

lesson-python-pi-minecraft

Lesson and materials to teach python on raspberry Pis utilising minecraft.

lina-msc

LINA-msc is a dataset for evaluating Multi-sentence Compression in French.

lm-steganography

Steganographic text via language models

local-context-unit

local-context-unit

lstm-pinyin2ch

seq2seq PinYin to Chinese translator

ltm

Code for ICML 2014 paper "Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data"

ma-thesis

My Master's thesis: Weakly Supervised Learning for Compositional Sentiment Recognition

machine-translation

Machine Translation using Keras

machinelearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

mams-for-absa

A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

masterthesis

Latex based Draft of the Master Thesis

medical-books

Open sourece medical books in LaTeX. LaTeX写的中文开源医学书籍

medical-named-entity-recognition-for-ccks2017

A LSTM+CRF model for the seq2seq task for Medical named entity recognition in ccks2017

medicalnamedentityrecognition

Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.

mem_absa

Aspect Based Sentiment Analysis using End-to-End Memory Networks

memnn

Theano implementation of Memory Networks

mglda

mg-lda with gibbs sampling です。

minecraft-rl

simple reinforcement learning example for the minecraft

models

Models built with TensorFlow