sensitivity-analysis topic
epluspar
Conduct parametric analysis on EnergyPlus models in R
deeplift
Public facing deeplift repo
SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
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...
chaospy
Chaospy - Toolbox for performing uncertainty quantification.
Understanding-NN
Tensorflow tutorial for various Deep Neural Network visualization techniques
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.
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, S...
uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Sundials.jl
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