Uncertainty Quantification

NGBoostJupyter Notebook

A Python library for probabilistic prediction using natural gradient boosting, built on scikit-learn.

Robustness MetricsJupyter Notebook

Lightweight Python library for evaluating classification model robustness across out-of-distribution generalization, stability, and uncertainty metrics.

PyVarInfPython

A Python package for training PyTorch neural networks using variational inference for Bayesian deep learning.

skproPython

A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.