apple-aiml-research/ml-calibration

Python implementation of binary and multi-class Venn-ABERS calibration

Confidence intervals for scikit-learn forest algorithms

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

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).

Multi-class confusion matrix library in Python

LLM Analytics

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.