valeman/awesome-conformal-prediction

👋 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.

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

A curated list of Machine Learning Surveys, Tutorials and Books.

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

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

✨ AI/ML Research

Compendium of free ML reading resources