Boosting Python Packages

cartoboost

CartoBoost geospatial and temoporal boosting

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.

hnbm

Heterogeneous Newton Boosting Machine

snapboost

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

logitboost

LogitBoost classification algorithm built on top of scikit-learn

stackboost

Open source gradient boosting library

hydraboost

Gradient boosting that picks its own weak learner type each round. Competitive with tuned XGBoost, LightGBM and CatBoost with zero tuning.

tulia

Contains self-implemented Machine Learning algorithms using only numpy.