GPBoost and XGBoostLSS

These are competitors: both extend gradient boosting with probabilistic modeling capabilities (GPBoost via Gaussian processes and mixed-effects models, XGBoostLSS via distributional regression), offering alternative approaches to uncertainty quantification beyond standard point predictions.