Synthetic Patient Population Simulator
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Updated
Aug 18, 2026 - Java
Synthetic Patient Population Simulator
Python functions to obtain and clean data required for the version 2 Housing Unit Allocation. Workflow uses Census API.
Livelike: Vivid Synthetic Populations
SynPopToolbox is a Python framework designed for analysis, visualization and manipulation of a synthetic population produced by the land-use simulation software FaLC (https://github.com/falc-sim-org/FaLC) and related subproducts. Contact: davi.guggisberg@sbb.ch
Discrete choice model for the choice of mobility resources, used for the generation of a synthetic population (SynPop).
Shared utility functionality for Likeness modules
Dubai-focused synthetic persona generation using DAG-based probabilistic sampling — fork of MatrAIx (arXiv:2608.04205). 48 dimensions across residency, employment, housing, culture, digital behavior, and health. 1M personas calibrated against DSC, DHA, RTA, KHDA, and GMI data sources.
OD Data Modelling and Simulation
the direct probabilistic pairing method for generation of synthetic populations
Framework for generating longitudinal synthetic populations from life-course trajectories.
Synthetic Population Generator for France
The behavioral model of a data-driven agent-based COVID-19 simulation
Browser 3-D evacuation twins of four cities on a CARTO basemap — Mariupol under siege, Lower Manhattan in a storm surge, the Las Vegas Strip, hurricane-zone Miami. An agentic synthetic population, classified by who they are, who they travel with and how they behave, picks between real road-routed evacuation routes.
Generate synthetic electroanatomic mapping data to calculate Synthetic Registration Error for EP Workbench analysis.
Simulate complex cyberattack paths with a playbook-driven framework that replicates malware behavior for testing detections and investigations.
Build, inspect, and validate modelled Canadian households and people for reproducible research.
Audit patient medical files using this browser-based healthcare tool to ensure data accuracy and compliance.
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