Public facing deeplift repo

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Chaospy - Toolbox for performing uncertainty quantification.

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

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

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

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

MADS: Model Analysis & Decision Support

Advanced Multilanguage Interface to CVODES and IDAS

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

Multiphysics Finite Element package built on libMesh

OpenCossan is an open and free toolbox for uncertainty quantification and management.

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

Multidisciplinary-design Adaptation and Sensitivity Toolkit (MAST) - Sensitivity-enabled multiphysics FEA for design

priorsense: an R package for prior diagnostics and sensitivity