deel-ai/puncc

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

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

Uncertainty quantification with PyTorch

Confidence intervals for scikit-learn forest algorithms

High-quality implementations of standard and SOTA methods on a variety of tasks.

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

relplot: Utilities for measuring calibration and plotting reliability diagrams