sensitivity-analysis

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

Public facing deeplift repo

Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.

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.

Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.

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

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

GPU accelerated differentiable finite elements for solid mechanics with PyTorch

Emulate simulations easily

MADS: Model Analysis & Decision Support

priorsense: an R package for prior diagnostics and sensitivity

Automated Double Machine Learning (DoubleML + AutoML) pipeline for causal inference — estimate incremental impact, CATE & ROI of promotions, pricing and media.