lightning-uq-box/lightning-uq-box

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

Uncertainty quantification with PyTorch

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

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

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

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

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM, Finer-CAM, LeGrad, RefineCAM)