The mouse and trackpad utility for Mac.
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Updated
Dec 16, 2024 - Swift
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
Tools for sensitivity analysis for weighted estimators
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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
Tool to analyze a confusion matrix from performance of a classification model.
Simple site with some sensitivity utilities
PyTorch and Tf-Keras implementations of an epidemiology metric from Kaivanto (2008), suitable for imbalanced data
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