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arc

Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems

chr

Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems

conditional-conformal-pvalues

Conditional calibration of conformal p-values for outlier detection.

conformal-label-noise

This repository implements conformal prediction methods for classification tasks that can automatically adapt to random label contamination in the calibration sample.

conformalized-sketching

A flexible conformal inference method for constructing confidence intervals for the frequencies of queried objects in a very large data set, based on the information contained in a much smaller sketch of those data.

course-2023-collegio

Predictive uncertainty in machine learning with conformal inference

course-2023-ness

cqr-comparison

A comparison of some conformal quantile regression methods.

deepknockoffs

Approximate knockoffs and model-free variable selection.

i-modelx

Subgroup-selective knockoff filter

knockoff-filter

A versatile interface to the knockoff methodology.

knockoffgwas

A flexible tool for the multi-resolution localization of causal variants across the genome, accounting for population structure.

knockoffzoom

A flexible tool for the multi-resolution localization of causal variants across the genome

msesia.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

snpknock

R package to generate knockoffs for hidden Markov models and genetic data.

snpknock-python

Python package to generate knockoffs for hidden Markov models and genetic data.

teaching

tutorial_cluster

tutorials

ukbiobank_knockoffs

Code for the analyis of the UK Biobank data with multi-resolution knockoffs