Best Open Source gradient boosting Libraries
A curated list of the most popular GitHub repositories tagged with gradient boosting. Select any project to visualize its architecture and dive into the codebase using RepoMind's AI engine.
#1shap/shap
A game theoretic approach to explain the output of any machine learning model.
#2microsoft/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.
#3catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
#4interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.