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

    C++ 12.5k 3.3k

  2. Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

    C++ 343 50

  3. Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby) with zero dependencies

    Python 1.8k 157

1,184 contributions in the last year

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Contribution activity

May 2021

Created 1 repository

Created a pull request in scikit-learn-contrib/lightning that received 8 comments

fix compatibility with scikit-learn by dropping dependency from sklearn.testing

Fixed #156. Use normal asserts and ones from numpy.testing module where normal ones cannot be used (approx, arrays, raises).

+202 −243 8 comments
Opened 2 issues in 1 repository

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