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Hi there 👋

I am currently working with machine learning models in the areas of credit risk, topic models, word embedding and related topics, and conducting empirical analysis in spatial economics and long panels data. If you would like to discuss these topics, please open a new issue in my tutoring2 repo.

In addition to coding, I also occasionally update some non-coding things, such as my workout notes and game notes in nintendo_switch_mario.


  1. phv phv Public

    光伏短期功率预测大赛 代码

    R 33 12

  2. dmlc/xgboost dmlc/xgboost Public

    Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

    C++ 25.5k 8.7k

  3. top-line-predictor top-line-predictor Public

    FDDC2018金融算法挑战赛01 - A股上市公司季度营收预测 比赛笔记

    HTML 12 5

  4. workflowr/workflowr workflowr/workflowr Public

    Organize your project into a research website

    R 804 106

  5. dynamic_topic_modeling dynamic_topic_modeling Public

    dynamic topic modeling

    Jupyter Notebook 39 1

  6. usd-data-analysisEX usd-data-analysisEX Public

    Additional notes for A Study on the Negative Externality of Usd Liquidity - Based on the Asset Allocation Efficiency of Us Treasury Securities

    3 1