Tigeryang93's repositories
text_classification_keras
text classification with keras in rt-polaritydata
sentence-similarity
问题句子相似度计算，即给定客服里用户描述的两句话，用算法来判断是否表示了相同的语义。
chengyu-search-engine
建立搜索引擎，实现查询成语含义和查询与当前成语押韵的其他成语。coder中rap听的最多的~
os-zh-keyword-application
keyword python application
2018-ccf-bdci-china-unicom-research-institute-2th
2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名解决方案
2018-ccl-uimcs-1th
CCL2018中移在线客服领域用户意图分类冠军方案
2018-dg-textclassifier-8th
2018达观杯文本智能处理比赛，文本分类主题，最终排名 8/3462
2018-icc-travelservice-14th
2018-ICC-精品旅行服务成单预测：14th/1135 (优胜奖)
2018-jddc-4th
2018-JDDC大赛第4名的解决方案
2018-kdxf-top2
科大讯飞 top2solution
2018-keyword-extraction-3th
关键词抽取，神策杯2018高校算法大师赛比赛，solo 排名3/591
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
bert-bilstm-crf-ner
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning
bert-chinese-classification
bert中文分类实践
CrimeKgAssitant
Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.
data-competition-topsolution
Data competition Top Solution 数据竞赛top解决方案开源整理
data-science-competitions
A collection of popular Data Science Competitions
DeepLearning
Python for “Deep Learning”，《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
GNNPapers
Must-read papers on graph neural networks (GNN)
Information-Extraction-Chinese
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
Keyword_Extraction
神策杯2018高校算法大师赛（中文关键词提取）第二名代码方案
knowledge-graph-learning
A curated list of awesome knowledge graph tutorials, projects and communities.
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.
nlp_paper_study
研读顶会论文，复现论文相关代码
python-data-analysis-and-mining-action
《python数据分析与挖掘实战》的代码笔记
QASystemOnMedicalKG
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。
tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
Z_knowledge_graph
Bulding kg from 0