Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
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Updated
May 31, 2024 - Python
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
A repository containing the deep learning-based geomagnetic storm forecasting model development codes
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Code for "Towards Human-AI Complementarity with Predictions Sets", arXiv 2024
A scikit-learn-compatible module for estimating prediction intervals.
Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
Machine Learning with uncertainty quantification and interpretability
Conformal anomaly detection wrapper for uncertainty-quantified 'PyOD' anomaly detectors.
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
Code for "Designing Decision Support Systems Using Counterfactual Prediction Sets". ICML 2024.
Conformal Prediction in Multi-User Settings
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Implementation for our paper "Metric-guided Image Reconstruction Bounds via Conformal Prediction".
Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
Code for the paper "Approximating full conformal prediction at scale via influence functions""
All the material needed to use MC-CP and the Adaptive MC Dropout method
Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
In this repo, I implement, compare and reproduce results for different conformal prediction methods for various graph machine learning models.
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