Public facing deeplift repo
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
A Python-based toolbox of various methods in 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
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
MADS: Model Analysis & Decision Support
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Advanced Multilanguage Interface to CVODES and IDAS
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
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
priorsense: an R package for prior diagnostics and sensitivity
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