kendrick

Epidemiology model builder

A platform for building custom epidemiology models using a domain-specific language and simulation framework.

Domain-Specific Modeling for Epidemiology

GitHub

49 stars
12 watching
14 forks
Language: Smalltalk
last commit: almost 4 years ago
Linked from 1 awesome list

dslepidemiologyinfectious-diseasesmathematical-modellingmodel-driven-engineeringpharopharo-smalltalksmalltalk

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
juliastats/pgm.jlA Julia framework for building and analyzing probabilistic graphical models.52
openclimatedata/pyhectorProvides a Python interface to a simple global climate model43
dana-farber-aios/pathmlA toolkit for computational pathology that provides tools and frameworks for analyzing biomedical images and data398
echeynet/seirDevelops and fits a generalized SEIR epidemic model to predict COVID-19 transmission and mortality rates86
covid-19-impact-lab/sidSimulates the spread of COVID-19 with different policies and varying contact types18
sysbiochalmers/geckoA toolbox for incorporating enzyme constraints into genome-scale models of biological systems66
geoscienceml/seismiqbA framework for building and deploying deep learning models on post-stack seismic data6
galadrielbriere/clustomicsAn open-source software tool for applying consensus clustering to multi-omic data for disease subtyping5
qile0317/apackoftheclonesTools for visualizing and analyzing clonal expansion in immune cell populations14
charles-river-analytics/figaroAn open-source probabilistic programming language and its core libraries for building complex probabilistic models757
jfalameda/refinerycms-dynamicfieldsAllows creation of dynamic models and fields within a content management system.16
locuslab/e2e-model-learningDevelops an approach to learning probabilistic models in stochastic optimization problems201
epidemics-scepticism/writingA collection of guides and experiments on writing about privacy, security, and anonymity in the context of software development41
thomdata/r_themeA software framework for exploring and predicting relationships in multiblock datasets using a combination of statistical modeling and machine learning techniques.1
climdyn/qgsA flexible Python framework for simulating the dynamics of atmospheric models in midlatitudes37