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    • CCKS2019中文命名实体识别任务。从医疗文本中识别疾病和诊断、解剖部位、影像检查、实验室检验、手术和药物6种命名实体。现已实现基于jieba和AC自动机的baseline构建、基于BiLSTM和CRF的序列标住模型构建。bert的部分代码主要源于https://github.com/charles9n/bert-sklearn.git 感谢作者。 模型最终测试集得分0.81,还有较大改进空间。可以当做一个baseline。
      Python
      75000Updated Feb 9, 2021Feb 9, 2021
    • Predict crime incidents in San Francisco and build a heat-map to be used by San Francisco Police Department.
      JavaScript
      3601Updated Jul 24, 2017Jul 24, 2017
    • Group3

      Public
      China A-share Market Stock Prediction via Wechat
      Python
      5100Updated Sep 1, 2015Sep 1, 2015
    • Group_1
      Scala
      2000Updated Aug 18, 2015Aug 18, 2015
    • An text analysis for zhihu.com user
      Python
      0000Updated Aug 17, 2015Aug 17, 2015
    • 0000Updated Aug 16, 2015Aug 16, 2015
    • Java
      0000Updated Aug 16, 2015Aug 16, 2015
    • group6

      Public
      0000Updated Aug 16, 2015Aug 16, 2015
    • cn

      Public
      HTML
      1000Updated Aug 14, 2015Aug 14, 2015
    • Aids Amber Alert
      Python
      2500Updated Jun 15, 2015Jun 15, 2015
    • Facial Intelligence Platform
      5600Updated Jun 14, 2015Jun 14, 2015
    • Predict taxi destination
      2000Updated Jun 14, 2015Jun 14, 2015
    • music artist recommendation using spark, mllib
      Scala
      2000Updated Jun 14, 2015Jun 14, 2015
    • Our project recommends relevant hashtags while a user is typing his tweet
      Java
      1000Updated Jun 14, 2015Jun 14, 2015
    • HTML
      3100Updated Jun 13, 2015Jun 13, 2015
    • Optimizes risk and return selecting a stock portfolio
      0000Updated Jun 13, 2015Jun 13, 2015
    • Taxi

      Public
      Taxi data analysis
      0000Updated Jun 11, 2015Jun 11, 2015
    • DataJhoom

      Public
      JavaScript
      2400Updated May 31, 2015May 31, 2015
    • Sparking

      Public
      0000Updated May 30, 2015May 30, 2015
    • 0000Updated May 30, 2015May 30, 2015
    • Explorer

      Public
      0000Updated May 30, 2015May 30, 2015