Lightweight, useful implementation of conformal prediction on real data.

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

This repository contains the notebooks and related materials for the master class "Uncertainty Quantification".

Conformal Anomaly Detection

Everything related to translating conformal predictors into practice

Reproducible experiments conducted in the paper 'Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-Values'.