#Gradient-boosted-trees

perpetual-ml

perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

cog-imperial

OMLT

Represent trained machine learning models as Pyomo optimization formulations

Swiggy

Moo-GBT

Library for Multi-objective optimization in Gradient Boosted Trees

RubixML

Housing

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.