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1. learning_to_rank learning_to_rank Public

   利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and …

   Python 263 71

2. albert_lstm_crf_ner albert_lstm_crf_ner Public

   albert + lstm + crf实体识别，pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)

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3. movie_knowledge_graph_app movie_knowledge_graph_app Public

   电影知识图谱，主要包括实体识别、实体查询、关系查询以及智能问答等。movie knowledge graph(Entity identification, graph display, and intelligent question and answer)

   JavaScript 126 30

4. education_knowledge_graph_app education_knowledge_graph_app Public

   Education knowledge graph(graph display, knowledge point tracking, intelligent question and answer，questions knowledge point prediction)。k12教育学科知识图谱，图谱展示，知识点追踪，智能问答以及题目知识点预测。

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5. intelligent_medical intelligent_medical Public

   intelligent medical，智慧医疗，包括疾病搜索、相关推荐、疾病医疗问答以及智能疾病诊断等功能。

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6. java-springboot-paddleocr java-springboot-paddleocr Public

   本项目利用java加载paddle-ocr的C++编译的exe文件，并利用springboot进行web部署访问。This project loads the C++ compiled version of paddle-ocr in java and makes use of springboot for web deployment.

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