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fabsig
gpboost

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

17K 678 54
fabsig
ktboost

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

3K 62 21
artemmavrin
logitboost

LogitBoost classification algorithm built on top of scikit-learn

352 14 8
leffff
stackboost

Open source gradient boosting library

153 7 0
samsonq
snapboost

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

105 5 1
chuvalniy
tulia

Contains self-implemented Machine Learning algorithms using only numpy.

85 0 0
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