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codemeta.json
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codemeta.json
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{
"@context": "https://doi.org/10.5063/schema/codemeta-2.0",
"@type": "SoftwareSourceCode",
"license": "https://spdx.org/licenses/MIT",
"codeRepository": "https://github.com/reactivebayes/RxInfer.jl",
"contIntegration": "https://github.com/reactivebayes/RxInfer.jl/actions",
"dateCreated": "2022-06-13",
"datePublished": "2022-11-03",
"downloadUrl": "https://github.com/reactivebayes/RxInfer.jl/releases",
"issueTracker": "https://github.com/reactivebayes/RxInfer.jl/issues",
"name": "RxInfer.jl",
"version": "3.8.2",
"description": "Julia package for automated, scalable and efficient Bayesian inference on factor graphs with reactive message passing. ",
"applicationCategory": "Statistics",
"developmentStatus": "active",
"readme": "https://reactivebayes.github.io/RxInfer.jl/stable/",
"softwareVersion": "3.8.2",
"keywords": [
"Bayesian inference",
"message passing",
"factor graphs",
"probabilistic programming",
"reactive programming",
"continual inference",
"scalable inference",
"variational optimization",
"free energy",
"Bethe constraints"
],
"programmingLanguage": [
"Julia"
],
"operatingSystem": [
"Linux",
"Windows",
"MacOS"
],
"relatedLink": [
"https://reactivebayes.github.io/rxinfer-website/",
"https://reactivebayes.github.io/RxInfer.jl/stable/",
"https://app.codecov.io/gh/reactivebayes/RxInfer.jl"
],
"author": [
{
"@type": "Person",
"@id": "https://orcid.org/0000-0001-9655-7986",
"givenName": "Dmitry",
"familyName": "Bagaev",
"email": "[email protected]",
"affiliation": {
"@type": "Organization",
"name": "Eindhoven University of Technology"
}
}
],
"maintainer": [
{
"@type": "Person",
"@id": "https://orcid.org/0000-0001-9655-7986",
"givenName": "Dmitry",
"familyName": "Bagaev",
"email": "[email protected]",
"affiliation": {
"@type": "Organization",
"name": "Eindhoven University of Technology"
}
}
]
}