uncertainty-quantification

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uncertainty-toolbox /uncertainty-toolbox

Star2k

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

visualization metrics scoring-rules toolbox uncertainty calibration visualizations uncertainty-quantification uncertainty-estimation bayesian-neural-networks bayesian-deep-learning sharpness predictive-uncertainty recalibration uncertainty-calibration uncertainty-metrics uncertainty-toolbox

UpdatedMar 5, 2025
Python

valeman /awesome-conformal-prediction

Sponsor

Star1.1k

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

python machine-learning awesome r statistics ai probability uncertainty datascience probability-distribution awesome-list machinelearning deeplearning probability-distributions uncertainty-quantification uncertainty-estimation conformal-prediction explainable-ai robust-ml

UpdatedDec 14, 2025

cvs-health /uqlm

Star1.1k

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

uncertainty-quantification uncertainty-estimation ai-safety confidence-score hallucination confidence-estimation ai-evaluation llm llm-evaluation llm-safety hallucination-evaluation hallucination-detection hallucination-mitigation llm-hallucination

UpdatedDec 16, 2025
Python

aangelopoulos /conformal-prediction

Star994

Lightweight, useful implementation of conformal prediction on real data.

natural-language-processing computer-vision time-series uncertainty uncertainty-quantification uncertainty-estimation conformal time-series-prediction conformal-prediction distribution-shift conformal-inference

UpdatedNov 14, 2025
Jupyter Notebook

SALib /SALib

Star965

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

python numpy uncertainty uncertainty-quantification sensitivity-analysis morris sensitivity-analysis-library sobol global-sensitivity-analysis salib joss

UpdatedNov 22, 2025
Python

awslabs /fortuna

Star923

A Library for Uncertainty Quantification.

machine-learning ai deep-learning ml uncertainty calibration neural-networks flax bayesian-inference model-calibration uncertainty-quantification uncertainty-estimation conformal-prediction jax uncertainty-calibration

UpdatedApr 23, 2025
Python

jxzhangjhu /Awesome-LLM-Uncertainty-Reliability-Robustness

Star797

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

reliability calibration safety awesome-list uncertainty-quantification uncertainty-estimation robustness hallucination gpt-3 gpt-4 in-context-learning large-language-models prompt-engineering prompting llms chain-of-thought chatgpt

UpdatedMay 21, 2025

ENSTA-U2IS-AI /awesome-uncertainty-deeplearning

Star776

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

machine-learning awesome deep-neural-networks deep-learning uncertainty-neural-networks uncertainty-quantification uncertainty-estimation uncertainty-analysis awesome-resources deep-learning-tutorials

UpdatedDec 5, 2025

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

python machine-learning emulation decision-making uncertainty-quantification sensitivity-analysis bayesian-optimization experimental-design bayesian-quadrature multi-fidelity

UpdatedDec 1, 2025
Python

AlaaLab /deep-learning-uncertainty

Star633

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deep-neural-networks deep-learning uncertainty-quantification uncertainty-estimation prediction-uncertainty

UpdatedAug 1, 2022
Jupyter Notebook

henrikbostrom /crepes

Star548

Python package for conformal prediction

python machine-learning scikit-learn sklearn jupyter-notebook regression confidence-intervals uncertainty-quantification quantile-regression conformal-prediction prediction-intervals cumulative-distribution-function prediction-sets conformal-regressors conformal-predictive-systems conformal-classifiers conformal-test-martingales

UpdatedOct 9, 2025
Python

jonathf /chaospy

Star467

Chaospy - Toolbox for performing uncertainty quantification.

statistics probability-distribution uncertainty-quantification sensitivity-analysis sparse-grids variance-reduction gaussian-quadrature

UpdatedSep 4, 2025
Python

ENSTA-U2IS-AI /torch-uncertainty

Star462

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

computer-vision pytorch bayesian-network uncertainty neural-networks ensembles uncertainty-quantification predictive-uncertainty trustworthy-machine-learning reliable-ai

UpdatedDec 10, 2025
Python

ml-stat-Sustech /TorchCP

Star440

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

graph regression classification uncertainty-quantification conformal-prediction large-language-models

UpdatedNov 1, 2025
Python

deel-ai /puncc

Star363

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

uncertainty-quantification uncertainty-estimation conformal-prediction conformal-regressors conformal-inference

UpdatedDec 5, 2025
Python

SURGroup /UQpy

Star339

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

monte-carlo probability stochastic monte-carlo-simulation stochastic-process uncertainty-quantification probabilistic uncertainty-propagation latin-hypercube uncertainty-sampling latin-hypercube-sampling

UpdatedNov 30, 2025
Python

deephyper /deephyper

Star303

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

python machine-learning deep-learning hpc scalability raylib mpi pytorch hyperparameter-optimization uncertainty-quantification automl neural-architecture-search multi-fidelity

UpdatedDec 17, 2025
Python

openturns /openturns

Star296

Probabilistic modelling and uncertainty quantification library

python optimization reliability metamodel probability-distribution data-analysis stochastic-process sensitivity uncertainty-quantification

UpdatedDec 8, 2025
C++

IBM /UQ360

Star268

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

machine-learning metrics artificial-intelligence uncertainty calibration uncertainty-quantification trusted-ai bayesianneuralnetwork uncertainty-estimates

UpdatedSep 17, 2025
Python

dkogan /mrcal

Star262

Next-generation camera-modeling toolkit

camera-calibration structure-from-motion uncertainty-quantification lens-modeling

UpdatedDec 17, 2025
Python

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