sensitivity
There are 1 repository under sensitivity topic.
linearmouse / linearmouse
The mouse and trackpad utility for Mac.
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BioSTEAMDevelopmentGroup / Bioindustrial-Park
BioSTEAM's Premier Repository for Biorefinery Models and Results
Language:Jupyter Notebook 36ODINN-SciML / DiffEqSensitivity-Review
A Review of Sensitivity Methods for Differential Equations
Language:TeX 28- fastNLfeaLanguage:MATLAB 21
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Broundal / Pytolemaic
Toolbox for analysis of model's quality and model's description. For further details see
Language:Python 11FalseNegativeLab / mlscorecheck
Testing the consistency of binary classification performance scores reported in papers
Language:Jupyter Notebook 11m-clark / confusionMatrix
Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
Language:R 11slippyex / data-guardian
Tiny, zero-dependencies, package which tries to mask sensitive data in arbitrary collections (map, set), errors, objects and strings.
Language:TypeScript 11CyclotronResearchCentre / shamo
A tool for electromagnetic modelling of the head and sensitivity analysis.
Language:Python 6OpenSrcerer / thermostat
Have trouble with your server going too fast? Try this new auto-slowmode Discord Bot!
Language:Java 6ThummeTo / FMISensitivity.jl
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
Language:Julia 6nanhung / pksensi
An R package for applying global sensitivity analysis in physiologically based kinetic modeling
Language:R 5marina8888 / chemkin-sensitivity-analysis
Filter and plot sensitivity data from CHEMKIN sensitivity spreadsheets
Language:Python 4- mcmLanguage:Jupyter Notebook 3
- SensitivityUtils
Kalmarv / SensitivityUtils
Simple site with some sensitivity utilities
Language:TypeScript 3 melodyyhuang / senseweight
Tools for sensitivity analysis for weighted estimators
Language:R 3tr7200 / Youdens_index
PyTorch and Tf-Keras implementations of an epidemiology metric from Kaivanto (2008), suitable for imbalanced data
Language:Python 3TrainingByPackt / Applied-Deep-Learning-with-Keras-eLearning
Solve complex real-life problems with the simplicity of Keras
Language:Jupyter Notebook 2cherenkov-plenoscope / flux_sensitivity
Estimate the integral and/or differential flux-sensitivity of your instrument
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keyoumao / Credit_Risk
Supervised Machine Learning and Credit Risk
Language:Jupyter Notebook 1- sa-uta7-recall-precision
mida-project / sa-uta7-recall-precision
[AIIM] Recall & Precision results of the UTA7 statistical analysis.
Language:HTML 1 pratikwatwani / Sensitivity-to-Noise-Nuisance-in-New-York-City
Discovering if there exists a relationship🔗 between specific demographic characteristics in the population that would explain the tolerance in the population to report noise nuisance to the "311" department 👮🏻♂️
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- Language:Java 1
trigger-segfault / TriggersTools.DirectoryCaseSensitivity
A library for working with Windows 10, April 2018 Update's addition of per-directory case sensitivity.
Language:C# 1CamilleLeclerc / SensitivitySubantarcticInvertebratesWarming
📦 Data and R code to explore sensitivity of subantarctic invertebrates to warming - Renault et al. (2022) [https://doi.org/10.1111/gcb.16338]
Language:R 0Dev-Goel / Stroke-Prediction
The project aims at predicting whether a patient is likely to get a stroke based on the input parameters like gender, age, BMI, average glucose level, various diseases like hypertension, heart disease, and smoking status. (Course: CSL2050 Pattern Recognition and Machine Learning)
Language:Jupyter Notebook 0Lindeneg / csgo-pro-settings
distribution of csgo pro players settings
Language:TypeScript 0lrosenplaenter / DiaMetrics
DiaMetrics is a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing.
Language:JavaScript 0DiaMetrics_DE is the German version of Diametrics: a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing.
Language:JavaScript 0randleon / Understanding-Classification-Model-Performance-Metrics-On-Diabetes-Dataset
Evaluation of the performance of classification models can be facilitated through a combination of calculating certain types of performance metrics and generating model performance evaluation graphics. The purpose of this exercise is to calculate a suite of classification model performance metrics via Python code functions.
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