Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Scoring rules like the Brier Score (Mean Squared Error, Quadratic Score) and Log Loss (Cross-Entropy, Negative Log-Likelihood, Logarithmic Score) can favor incorrect predictions. To address this limitation, the Probabilistic Brier Score (PBS) and Probabilistic Logarithmic Loss (PLL) have been introduced for probabilistic classifiers.

Verification Tools for the Statistical Postprocessing of Ensemble Forecasts

DiffeRential Evolution Adaptive Metropolis algorithm: MATLAB and Python Toolbox

Official code repository for Distributional Autoencoders Know the Score, NeurIPS 2025

Simulations of "Proper scoring rules for multivariate probabilistic forecasts based on aggregation and transformation", Pic et al. (2025)

Examining properness of scoring rules in survival analysis

Scoring Rules of Hydrograph Functionals

Investigation of inflation of Integrated Brier Score for validation of survival models