kendrick
Epidemiology model builder
A platform for building custom epidemiology models using a domain-specific language and simulation framework.
Domain-Specific Modeling for Epidemiology
49 stars
12 watching
14 forks
Language: Smalltalk
last commit: over 2 years ago
Linked from 1 awesome list
dslepidemiologyinfectious-diseasesmathematical-modellingmodel-driven-engineeringpharopharo-smalltalksmalltalk
pharo-open-documentation/awesome-pharoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 juliastats/pgm.jl | A Julia framework for building and analyzing probabilistic graphical models. | 52 |
 openclimatedata/pyhector | Provides a Python interface to a simple global climate model | 43 |
 dana-farber-aios/pathml | A toolkit for computational pathology that provides tools and frameworks for analyzing biomedical images and data | 398 |
 echeynet/seir | Develops and fits a generalized SEIR epidemic model to predict COVID-19 transmission and mortality rates | 86 |
 covid-19-impact-lab/sid | Simulates the spread of COVID-19 with different policies and varying contact types | 18 |
 sysbiochalmers/gecko | A toolbox for incorporating enzyme constraints into genome-scale models of biological systems | 66 |
 geoscienceml/seismiqb | A framework for building and deploying deep learning models on post-stack seismic data | 6 |
 galadrielbriere/clustomics | An open-source software tool for applying consensus clustering to multi-omic data for disease subtyping | 5 |
 qile0317/apackoftheclones | Tools for visualizing and analyzing clonal expansion in immune cell populations | 14 |
 charles-river-analytics/figaro | An open-source probabilistic programming language and its core libraries for building complex probabilistic models | 757 |
 jfalameda/refinerycms-dynamicfields | Allows creation of dynamic models and fields within a content management system. | 16 |
 locuslab/e2e-model-learning | Develops an approach to learning probabilistic models in stochastic optimization problems | 201 |
 epidemics-scepticism/writing | A collection of guides and experiments on writing about privacy, security, and anonymity in the context of software development | 41 |
 thomdata/r_theme | A software framework for exploring and predicting relationships in multiblock datasets using a combination of statistical modeling and machine learning techniques. | 1 |
 climdyn/qgs | A flexible Python framework for simulating the dynamics of atmospheric models in midlatitudes | 37 |