microsoft/LightGBM

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 tasks.

C++PythonRCudaCShellOthermicrosoftpythonmachine-learningdata-miningrparalleldistributedkagglegbdtgbmlightgbmgbrtdecision-treesgradient-boosting
This is stars and forks stats for /microsoft/LightGBM repository. As of 28 Apr, 2024 this repository has 15515 stars and 3775 forks.

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages: Faster training speed and higher efficiency. Lower memory usage. Better accuracy. Support of parallel, distributed, and GPU learning. Capable of handling large-scale data. For further details, please refer to Features. Benefiting from these advantages, LightGBM is being widely-used in many winning solutions...
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