80 skills found · Page 2 of 3
PolicyEngine / Policyengine ClaudeOfficial Claude Code plugin for PolicyEngine development - agents, commands, and skills for tax/benefit microsimulation
dymium-org / CoreAn R package for microsimulation modelling
liam2 / Liam2Framework for developping microsimulation models
ihmeuw / Vivarium Public HealthVivarium microsimulation tools used to model diseases and interventions.
nismod / Microsimulationpopulation and household microsimulation models
virgesmith / NeworderA dynamic microsimulation framework for python
RTIInternational / Rti Synth PopRTI has developed this code for creation of synthetic populations from the U.S. Census TIGER and American Community Survey (ACS) data with geospatial placement leveraging ORNL's LandScan USA data product. The resulting synthetic populations are suitable for geospatial analyses and modeling use cases including microsimulation.
ANRGenstar / GenstarGeneration of Synthetic Populations Library
mclements / ProstataR package for prostate cancer microsimulation
UDST / MantaMicrosimulation Analysis for Network Traffic Assignment
simpaths / SimPathsSimPaths is an open-source microsimulation framework for life course analysis, developed and maintained by CeMPA at the University of Essex
PolicyEngine / Policyengine CoreCore microsimulation engine for PolicyEngine models. Forked from OpenFisca-Core.
PolicyEngine / Policyengine CanadaCountry model of Canada's tax-benefit system, using PolicyEngine Core.
foss-transportationmodeling / PopgenA synthetic population generator for advanced microsimulation models of urban systems
henrileleu / Covid19Covid19 microsimulation
virgesmith / DemographyMicrosimMicrosimulation for Demography Worked Examples
alburezg / Rsocsim Workshop PaaMaterial for the PAA2023 Member Initiated Meeting "Demographic microsimulations in R using SOCSIM: Modelling population and kinship dynamics" organized by the IUSSP Panel on Digital and Computational Demography and Max Planck Institute for Demographic Research (MPIDR).
PSLmodels / Tax BrainTax-Brain is an integrator model for PSL tax models
ChristK / WorkHORSEworkHORSE microsimulation
ClimbingMachine / Deep Reinforcement Learning Pedestrian Signal DesignThis study is to investigate the optimal control strategies at crosswalks using traffic signal controllers. A multi-agent reinforcement learning framework will be proposed as the “smart” control strategy, and several experiments will be conducted using microsimulation. The proposed multi-agent reinforcement learning framework is aimed to (1) find the optimal control policy that minimizes the number of conflicts (safety) while reducing traffic delay (efficiency), (2) account for different scheduling scenarios with various combinations of pedestrian flow rates and vehicle flow rates, and (3) make comparisons with baseline traditional traffic signal controllers and semi-controlled strategy.
