explore-eqa

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

Lightweight, useful implementation of conformal prediction on real data.

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

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

Official Github repository for?"Renderable Neural Radiance Map for Visual Navigation?". (CVPR 2023 Highlight)

Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)

Conformal prediction for time-series applications.

? Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)