prob-epi
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/elizavetasemenova/prob-epi
- Documentation
- unknown
- Tags
- agent-based-modeling · bayesian-inference · deep-generative-modelling · disease-transmission · epidemiology · gaussian-processes · numpyro · probabilistic-programming
- Regulatory
- unknown
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.
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
- api.github.com/repos/elizavetasemenova/prob-epiretrieved 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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/v1/entries/63.json→ .entries["prob-epi"]
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