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gpboost

Tree-Boosting, Gaussian Processes, and Mixed-Effects Models

ktboost

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

logitboost

LogitBoost classification algorithm built on top of scikit-learn

stackboost

Open source gradient boosting library

snapboost

Heterogeneous Newton Boosting Machine using decision trees and kernel ridges as learners.

tulia

Contains self-implemented Machine Learning algorithms using only numpy.