GitHub - fabsig/GPBoost: Combining tree-boosting with Gaussian process and mixed effects models
Get started GPBoost is a software library for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. The GPBoost library is predominantly written in C++, and there exist both a
Source: github.com