sensitivity

The mouse and trackpad utility for Mac.

Probabilistic modelling and uncertainty quantification library

BioSTEAM's Premier Repository for Biorefinery Models and Results

Modular Python framework for topology optimization

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.

katmer is a powerful library for optimizing the design of optical thin films using automatic differentiation via JAX and Equinox, enabling efficient and accurate inverse design solutions.

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

Testing the consistency of binary classification performance scores reported in papers

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

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

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

Tools for sensitivity analysis for weighted estimators

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

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Filter and plot sensitivity data from CHEMKIN sensitivity spreadsheets

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