A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
-
Updated
Jul 16, 2024 - Jupyter Notebook
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
Machine Learning with uncertainty quantification and interpretability
Implementation for our paper "Metric-guided Image Reconstruction Bounds via Conformal Prediction".
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
A Library for Uncertainty Quantification.
🚩 Uncertainty-Quantified (Conformal) Anomaly Detection for PyOD.
Clusters protein chains based on CA distance difference
Public release for "Explore until Confident: Efficient Exploration for Embodied Question Answering"
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)
Implementation of the paper "CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification"
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
Conformal classifiers, regressors and predictive systems
Code and experiments related to the paper: 'Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference'
This repository implements conformal prediction methods for classification tasks that can automatically adapt to random label contamination in the calibration sample.
Code for "Designing Decision Support Systems Using Counterfactual Prediction Sets". ICML 2024.
Implemented Conformal Prediction algorithm with one nearest neighbour in Python. Project involves creating artificial datasets to assess the algorithm's performance under varying noise and data distributions.
Code for "Towards Human-AI Complementarity with Predictions Sets", arXiv 2024
Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
Add a description, image, and links to the conformal-prediction topic page so that developers can more easily learn about it.
To associate your repository with the conformal-prediction topic, visit your repo's landing page and select "manage topics."