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.
Chaospy - Toolbox for performing uncertainty quantification.
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.
Tensorflow tutorial for various Deep Neural Network visualization techniques
The Biorefinery Simulation and Techno-Economic Analysis Modules
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODEs (CVODE and ARKODE), and DAEs (IDA)
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
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
High-performance sensitivity analysis for large ordinary differential equation models
Emulate simulations easily
MADS: Model Analysis & Decision Support
priorsense: an R package for prior diagnostics and sensitivity
SecretScraper is a web scraper that crawl through target websites, scrape from http response and extract secret information via regular expression.
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
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