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  1. Forked from microsoft/LightGBM

    A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks…

    C++ 1

  2. Forked from slundberg/shap

    A unified approach to explain the output of any machine learning model

    Jupyter Notebook

  3. Forked from Azure/mmlspark

    Microsoft Machine Learning for Apache Spark

    Scala 1

  4. Forked from apache/spark

    Mirror of Apache Spark

    Scala 1

  5. Forked from interpretml/interpret-community

    Fit interpretable models. Explain blackbox machine learning.


  6. Forked from microsoft/responsible-ai-widgets

    This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.


571 contributions in the last year

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Activity overview

Contribution activity

March 2021

Reviewed 6 pull requests in 2 repositories

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