Scientific Software
Updated 6 months ago

SALib — Peer-reviewed • Rank 22.8 • Science 100%

SALib: An open-source Python library for Sensitivity Analysis - Published in JOSS (2017)

Scientific Software
Updated 6 months ago

DeepHyper — Peer-reviewed • Rank 17.6 • Science 95%

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning - Published in JOSS (2025)

Scientific Software
Updated 6 months ago

AutoEmulate — Peer-reviewed • Rank 13.0 • Science 98%

AutoEmulate: A Python package for semi-automated emulation - Published in JOSS (2025)

Scientific Software
Updated 6 months ago

UQTestFuns — Peer-reviewed • Rank 8.4 • Science 100%

UQTestFuns: A Python3 library of uncertainty quantification (UQ) test functions - Published in JOSS (2023)

Scientific Software
Updated 6 months ago

GrainLearning — Peer-reviewed • Rank 8.8 • Science 98%

GrainLearning: A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials - Published in JOSS (2024)

Political Science Artificial Intelligence and Machine Learning Sociology
Scientific Software · Peer-reviewed
Updated 6 months ago

easyvvuq • Rank 14.0 • Science 85%

Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.

Updated 6 months ago

awesome-conformal-prediction • Rank 9.2 • Science 77%

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

Updated 5 months ago

uqpy • Rank 15.8 • Science 67%

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

Updated 6 months ago

duqtools • Rank 10.8 • Science 64%

Dynamic uncertainty quantification for Tokamak reactor simulations modelling

Updated 6 months ago

uncertainty-wizard • Rank 4.6 • Science 67%

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.

Updated 6 months ago

prudent-response-surface-models • Rank 0.0 • Science 67%

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.

Updated 6 months ago

wiser.jl • Rank 1.4 • Science 62%

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction

Updated 6 months ago

SciMLExpectations • Rank 8.5 • Science 54%

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Updated 6 months ago

mastercurves • Rank 8.2 • Science 54%

Python package for automatically superimposing data sets to create a master curve, using Gaussian process regression and maximum a posteriori estimation.

Updated 5 months ago

pygpc • Rank 13.5 • Science 46%

A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method

Updated 5 months ago

uncertainpy • Rank 12.3 • Science 33%

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

Updated 6 months ago

archnetsci • Rank 4.0 • Science 23%

Code repository and Bookdown project for Online Companion to Network Science in Archaeology by Tom Brughmans and Matthew A. Peeples (Cambridge Manuals in Archaeology)

Updated 5 months ago

https://github.com/alan-turing-institute/mogp-emulator • Rank 13.9 • Science 10%

Package for fitting Gaussian Process Emulators to multiple output computer simulation results.

Updated 5 months ago

https://github.com/alan-turing-institute/fabmogp • Rank 1.4 • Science 10%

FabSim3 plugin for an earthquake simulation Uncertainty Quantification tutorial

Updated 6 months ago

likelihoodbasedprofilewiseanalysis.jl • Science 44%

Julia package which implements and explores the Likelihood-based Profile Wise Analysis workflow for uncertainty quantification

Updated 6 months ago

azimuth • Science 67%

Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.

Updated 5 months ago

https://github.com/awslabs/cis-matching-tasks • Science 23%

A package for constructing confidence intervals for error rates in matching tasks such as 1:1 face and speaker verification.

Updated 6 months ago

indicator-uncertainty • Science 67%

Scripts to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes

Updated 5 months ago

https://github.com/astro-informatics/quantifai • Science 36%

PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driven (learned) priors

Updated 6 months ago

dubicube • Science 67%

An R package to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes.

Updated 6 months ago

pivuq • Science 57%

PIV Uncertainty Quantification

Updated 6 months ago

med • Science 39%

Autonomously driving equation discovery, from the micro to the macro, from laptops to supercomputers.

Scientific Software
Updated 6 months ago

Fortuna.jl — Peer-reviewed • Science 100%

Fortuna.jl: Structural and System Reliability Analysis in Julia - Published in JOSS (2024)

Updated 6 months ago

infernocalibnet • Science 26%

Calibrating neural networks with Bayesian nonparametric regression (Inferno) to quantify uncertainty and improve prediction reliability.