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prob-epi

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software/prob-epi

Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
agent-based-modeling · bayesian-inference · deep-generative-modelling · disease-transmission · epidemiology · gaussian-processes · numpyro · probabilistic-programming
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • CE-ABCbayesian-inference · epidemiology

    CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.

  • COVID-Agent-Based-Modelagent-based-modeling · epidemiology

    Disease propagation ABM generating SIR, severe cases, and R0 over quasi-time.

  • covidsimulationagent-based-modeling · epidemiology

    Covid Epidemics Simulation with Simpy

  • epiabmagent-based-modeling · epidemiology

    Epidemiological agent-based modelling packages in both python and C++. Published at: https://doi.org/10.5334/jors.449.

  • EpiModelagent-based-modeling · epidemiology

    Mathematical Modeling of Infectious Disease Dynamics

  • EpiModelHIVagent-based-modeling · epidemiology

    Network Models of HIV Transmission Dynamics among MSM and Heterosexuals

sources
  1. api.github.com/repos/elizavetasemenova/prob-epi
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-02-25, 71 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/63.json→ .entries["prob-epi"]

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