There are 7 repositories under conformal-prediction topic.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
A scikit-learn-compatible module for estimating prediction intervals.
Lightweight, useful implementation of conformal prediction on real data.
Conformal classifiers, regressors and predictive systems
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
Conformal prediction for time-series applications.
Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Valid and adaptive prediction intervals for probabilistic time series forecasting
đź‘– 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)
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.
[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
Conditional calibration of conformal p-values for outlier detection.
Unofficial implementation of Conformal Language Modeling by Quach et al
Code for paper "Copula-based conformal prediction for Multi-Target Regression"
Bayesian optimization with conformal coverage guarantees
Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal approach by employing a weighting strategy.
Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
PAC-Bayes generalization certificates for ICP
SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
A repository for reproducing the results in Selection by Prediction paper
Standalone implementation of Conformal Prediction and other distribution-free Machine Learning methods.
An introduction to conformal prediction
Implementation of Conformal Monte Carlo (CMC) learner