The mouse and trackpad utility for Mac.

Uncertainty treatment library

BioSTEAM's Premier Repository for Biorefinery Models and Results

A Review of Sensitivity Methods for Differential Equations

Fast nonlinear FEA tailored for topology optimization

VARS-TOOL sensitivity analysis package in Python

Extend scipy.integrate with various methods for solve_ivp

Tiny, zero-dependencies, package which tries to mask sensitive data in arbitrary collections (map, set), errors, objects and strings.

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

Toolbox for analysis of model's quality and model's description. For further details see

Testing the consistency of binary classification performance scores reported in papers

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

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A tool for electromagnetic modelling of the head and sensitivity analysis.

An R package for applying global sensitivity analysis in physiologically based kinetic modeling

Filter and plot sensitivity data from CHEMKIN sensitivity spreadsheets

Tools for sensitivity analysis for weighted estimators

Simple site with some sensitivity utilities

Tool to analyze a confusion matrix from performance of a classification model.

PyTorch and Tf-Keras implementations of an epidemiology metric from Kaivanto (2008), suitable for imbalanced data