https://github.com/fabsig/GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

artificial-intelligence boosting cpp data-science gaussian-processes machine-learning mixed-effects python r

Last synced: 04 Feb 2026

https://github.com/fabsig/gpboost

Combining tree-boosting with Gaussian process and mixed effects models

artificial-intelligence boosting cpp data-science gaussian-processes machine-learning mixed-effects python r

Last synced: 14 May 2025

https://github.com/fabsig/ktboost

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

artificial-intelligence boosting gbdt gbm grabit ktboost machine-learning statistics

Last synced: 21 Aug 2025

https://github.com/fabsig/gradientnewtonboosting

Comparing gradient and Newton boosting

artificial-intelligence boosting gbdt gbm ktboost machine-learning xgboost

Last synced: 20 Mar 2025

https://github.com/fabsig/compare_ml_highcardinality_categorical_variables

Machine Learning Methods for High-Cardinality Categorical Data

Last synced: 20 Mar 2025

https://github.com/fabsig/roc_precisionrecall

Last synced: 03 Oct 2025

https://github.com/fabsig/spate

spate: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach

Last synced: 01 Aug 2025

https://github.com/fabsig/createdummyvariablesspss

Create dummy variables in SPSS with Python 3 support for SPSS version 27 and latter

Last synced: 20 Mar 2025

https://github.com/fabsig/comparison_glmm_packages

Comparing Software Packages for Generalized Linear Mixed Effects Models (GLMMs)

Last synced: 11 Apr 2026