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sensitivity-analysis

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SALib /SALib

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 2, 2025
Python

kundajelab /deeplift

Public facing deeplift repo

sensitivity-analysis saliency-map interpretability guided-backpropagation interpretable-deep-learning deeplift integrated-gradients

UpdatedApr 28, 2022
Python

EmuKit /emukit

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

UpdatedOct 1, 2025
Python

LLNL /sundials

Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.

hpc solver parallel-computing scientific-computing high-performance-computing sensitivity-analysis time-integration ode-solver dae-solver nonlinear-equation-solver math-physics radiuss

UpdatedNov 6, 2025
C

chaospy

jonathf /chaospy

Chaospy - Toolbox for performing uncertainty quantification.

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

UpdatedSep 4, 2025
Python

SciML /SciMLSensitivity.jl

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

ode dde differential-equations differentialequations sde dae sensitivity-analysis hacktoberfest adjoint backpropogation neural-ode scientific-machine-learning neural-sde sciml

UpdatedOct 14, 2025
Julia

1202kbs /Understanding-NN

Tensorflow tutorial for various Deep Neural Network visualization techniques

tutorial computer-vision tensorflow sensitivity-analysis interpretable-deep-learning lrp deep-taylor-decomposition

UpdatedAug 22, 2020
Jupyter Notebook

simetenn /uncertainpy

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

python neuroscience uncertainty-quantification sensitivity-analysis computational-modeling

UpdatedSep 28, 2022
Python

biosteam

BioSTEAMDevelopmentGroup /biosteam

The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty

flash monte-carlo thermodynamics chemical-engineering reactor pump sensitivity-analysis fermentation process-simulation centrifuge distillation heat-exchanger unit-operation life-cycle-assessment bioprocess biorefinery techno-economic-analysis biochemical-process

UpdatedOct 27, 2025
Python

SciML /Sundials.jl

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODEs (CVODE and ARKODE), and DAEs (IDA)

julia clang ode ida differential-equations ordinary-differential-equations differentialequations dae sundials cvode sensitivity-analysis hacktoberfest differential-algebraic-equations kinsol idas scientific-machine-learning hybrid-differential-equation arkode sundials-libraries sciml

UpdatedOct 8, 2025
Julia

fancompute /angler

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

simulation optimization solver optics sensitivity-analysis inverse-problems frequency-domain electromagnetic mkl adjoint photonics adjoint-sensitivities fdfd nonlinear-devices

UpdatedDec 14, 2019
Python

usgs /pestpp

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

optimization parallel-computing parameter-estimation optimization-tools ensembles uncertainty-quantification sensitivity-analysis global-sensitivity-analysis ensemble-methods non-intrusive

UpdatedNov 3, 2025
C++

AMICI

AMICI-dev /AMICI

High-performance sensitivity analysis for large ordinary differential equation models

python simulation modeling ode pysb parameter-estimation systemsbiology differentialequations cvode sensitivity-analysis sensitivities hacktoberfest sbml adjoint-sensitivities forward-sensitivities kinetic-modeling mechanistic-models cvodes idas petab

UpdatedNov 5, 2025
C++

monaco

scottshambaugh /monaco

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

python data-science statistics simulation monte-carlo scientific-computing monaco uncertainty-quantification sensitivity-analysis uncertainty-analysis

UpdatedOct 16, 2025
Python

alan-turing-institute /autoemulate

Emulate simulations easily

emulation pytorch calibration neural-networks ensemble mcmc uncertainty-quantification sensitivity-analysis gaussian-processes active-learning hut23 history-matching hut23-1468

UpdatedNov 5, 2025
Python

madsjulia /Mads.jl

MADS: Model Analysis & Decision Support

machine-learning decision-making inversion matrix-factorization calibration data-analytics high-performance-computing parameter-estimation uncertainty-quantification sensitivity-analysis decision-support model-reduction model-analysis blind-source-separation

UpdatedOct 19, 2025
HTML

n-kall /priorsense

priorsense: an R package for prior diagnostics and sensitivity

r bayesian-methods bayesian stan bayes r-package sensitivity-analysis bayesian-data-analysis prior-distribution

UpdatedOct 28, 2025
R

PadishahIII /SecretScraper

SecretScraper is a web scraper that crawl through target websites, scrape from http response and extract secret information via regular expression.

python crawler webscraper pentesting sensitivity-analysis pentest-tool hyperscan cyper

UpdatedJun 6, 2024
Python

SciML /GlobalSensitivity.jl

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

julia julia-language ode morris-method differential-equations ordinary-differential-equations sensitivity-analysis global-sensitivity-analysis julialang gsa sobol-method scientific-machine-learning sciml efast

UpdatedNov 1, 2025
Julia

mathLab /ATHENA

ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis

python machine-learning sensitivity-analysis model-order-reduction parameter-space-reduction active-subspaces kernel-active-subspaces nonlinear-level-set-learning local-active-subspaces

UpdatedJul 5, 2023
Python

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