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".
Reproducible experiments conducted in the paper 'Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-Values'.
Everything related to translating conformal predictors into practice
Conformal Selection vs. eCounterScreening
Repository for paper "Multivariate Conformal Selection"
Code repository for OptCS paper
Conformal inference and cross-fit t-test for synthetic-control designs in Stata. Implements Chernozhukov, Wüthrich & Zhu (2021 JASA; 2018 COLT; 2026 JPE).(Public Preview, testing...)(Disclaimer: CURRENTLY WIP)
Implementation and tutorial for dozens of Conformal Prediction Algorithms across classification, regression, time-series, and risk-aware tasks.
Code Repository for SCoRE paper
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