There are 14 repositories under sensitivity-analysis topic.
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Public facing deeplift repo
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
Tensorflow tutorial for various Deep Neural Network visualization techniques
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.
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
priorsense: an R package for prior diagnostics and sensitivity
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
OpenCossan is an open and free toolbox for uncertainty quantification and management.
Multidisciplinary-design Adaptation and Sensitivity Toolkit (MAST) - Sensitivity-enabled multiphysics FEA for design
SecretScraper is a web scraper that crawl through target websites, scrape from http response and extract secret information via regular expression.
A collection of general Fortran modules in the categories Computational, Date and Time, Input / Output, Math / Numerics, Screening, Sensitivity Analysis and Optimising / Fitting, and Miscellaneous.
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
Uncertainty Quantification in Julia
Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method
Metamodeling, sensitivity analysis and visualization using the tensor train format
Estimate Crop Models' parameters
Greenbox: Excel-based Monte Carlo three-point sensitivity analysis
Python script for automated running of the TRNSYS simulations
Taking causal inference to the extreme!
Sensitivity analysis using simulation decomposition