Uncertainty treatment library

The mouse and trackpad utility for Mac.

BioSTEAM's Premier Repository for Biorefinery Models and Results

A Review of Sensitivity Methods for Differential Equations

Morris sensitivity method module

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

Fast nonlinear FEA tailored for topology optimization

VARS-TOOL sensitivity analysis package in Python

Solve complex real-life problems with the simplicity of Keras

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

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

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

Supervised Machine Learning and Credit Risk

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Extend scipy.integrate with various methods for solve_ivp

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)

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

CRS: Composite Reference Standard in R

Functions for Medical Decision Making for ClinicoPath jamovi Module