CE-ABC
importedsoftware/ce-abc
CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.
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
- Homepage
- americocunha.org/CE-ABC/
- Repository
- github.com/americocunhajr/CE-ABC
- Documentation
- unknown
- Tags
- approximate-bayesian-computation · bayesian-inference · compartmental-models · computational-biology · computational-epidemiology · cross-entropy-method · epidemic-simulations · epidemiology
- 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.
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The companion repository to Computational Modeling of Infectious Disease by Chris von Csefalvay
- epidWavescomputational-epidemiology · epidemiology
epidWaves is a Matlab/Python package to fit multi-wave statistical models to the complex epidemic data.
- episiacompartmental-models · epidemiology
Python toolkit for epidemiological modelling and reporting. SIR/SEIR/SEIRD compartmental models, sensitivity analysis, interactive visualisations, and automated HTML/Markdown/JSON reports, built for…
- epispotcompartmental-models · epidemiology
A tool for modeling infectious diseases.
- macpan2compartmental-models · epidemiology
Tools for building and calibrating compartmental models of infectious disease.
- api.github.com/repos/americocunhajr/CE-ABCretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-04-04, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/24.json→ .entries["ce-abc"]
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