SALib
SALib: An open-source Python library for Sensitivity Analysis - Published in JOSS (2017)
DeepHyper
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning - Published in JOSS (2025)
AutoEmulate
AutoEmulate: A Python package for semi-automated emulation - Published in JOSS (2025)
UQTestFuns
UQTestFuns: A Python3 library of uncertainty quantification (UQ) test functions - Published in JOSS (2023)
GrainLearning
GrainLearning: A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials - Published in JOSS (2024)
easyvvuq
Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
uqpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
duqtools
Dynamic uncertainty quantification for Tokamak reactor simulations modelling
uncertainty-wizard
Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.
lightning-uq-box
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
prudent-response-surface-models
Prudent Response Surface Models combine predictions with confidence scores and uncertainty levels, allowing their use in downstream analysis even for high-uncertainty or out-of-distribution inputs.
pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
wiser.jl
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
SciMLExpectations
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
mastercurves
Python package for automatically superimposing data sets to create a master curve, using Gaussian process regression and maximum a posteriori estimation.
pygpc
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
https://github.com/bayesflow-org/awesome-amortized-inference
This is a community-driven collection of resources around amortized inference.
archnetsci
Code repository and Bookdown project for Online Companion to Network Science in Archaeology by Tom Brughmans and Matthew A. Peeples (Cambridge Manuals in Archaeology)
https://github.com/madsjulia/biguq.jl
Bayesian Information Gap Decision Theory
https://github.com/alan-turing-institute/stat-fem
Python tools for solving data-constrained finite element problems
https://github.com/alan-turing-institute/mogp-emulator
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
https://github.com/alexhallam/tablespoon
🥄✨Time-series Benchmark methods that are Simple and Probabilistic
https://github.com/alan-turing-institute/fabmogp_paper
Software needed to reproduce UQ earthquake simulations
https://github.com/alan-turing-institute/vecma_workshop_tutorial
Python files for the VECMA mogp_emulator tutorial
https://github.com/alan-turing-institute/fabmogp
FabSim3 plugin for an earthquake simulation Uncertainty Quantification tutorial
likelihoodbasedprofilewiseanalysis.jl
Julia package which implements and explores the Likelihood-based Profile Wise Analysis workflow for uncertainty quantification
azimuth
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
https://github.com/cvs-health/uqlm
UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection
https://github.com/awslabs/cis-matching-tasks
A package for constructing confidence intervals for error rates in matching tasks such as 1:1 face and speaker verification.
stacie
Stable AutoCorrelation Integral Estimator
calisim
A toolbox for the calibration and evaluation of simulation models.
indicator-uncertainty
Scripts to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes
https://github.com/astro-informatics/quantifai
PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driven (learned) priors
dubicube
An R package to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes.
fickleheart-method-tutorials
Code for the tutorials in the Fickle Heart model calibration with discrepancy 2020 paper.
calisim-examples-workshop-material
Workshop for calisim: A toolbox for the calibration and evaluation of simulation models.
modeling-uncertainty-local-explainability
Local explanations with uncertainty 💐!
med
Autonomously driving equation discovery, from the micro to the macro, from laptops to supercomputers.
Fortuna.jl
Fortuna.jl: Structural and System Reliability Analysis in Julia - Published in JOSS (2024)
infernocalibnet
Calibrating neural networks with Bayesian nonparametric regression (Inferno) to quantify uncertainty and improve prediction reliability.
https://github.com/cwwhitney/urban_school_gardens
Decision model on investment in urban school gardens for food environment outcomes (Hanoi, Vietnam case)
https://github.com/dark-elektron/cavitydesignhub
A hub for control of different electromagnetic codes for accelerating cavity design.