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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",
"name": "sbi: Simulation-based inference toolkit",
"description": "Simulation-based inference is the process of finding parameters of a simulator from observations. The PyTorch package sbi performs simulation-based inference by taking a Bayesian approach to return a full posterior distribution over the parameters, conditional on the observations. This posterior can be amortized (<i>i.e.</i> useful for any observation) or focused (<i>i.e.</i>tailored to a particular observation), with different computational trade-offs. The code offers a simple interface for one-line posterior inference.",
"identifier": "ascl:2306.002",
"author": [
{
"@type": "Person",
"givenName": "Alvaro",
"familyName": "Tejero-Cantero",
"@id": "http://orcid.org/0000-0002-8768-4227"
},
{
"@type": "Person",
"givenName": "Jan",
"familyName": "Boelts",
"@id": "http://orcid.org/0000-0003-4979-7092"
},
{
"@type": "Person",
"givenName": "Michael",
"familyName": "Deistler",
"@id": "http://orcid.org/0000-0002-3573-0404"
},
{
"@type": "Person",
"givenName": "Jan-Matthis",
"familyName": "Lueckmann",
"@id": "http://orcid.org/0000-0003-4320-4663"
},
{
"@type": "Person",
"givenName": "Conor",
"familyName": "Durkan",
"@id": "http://orcid.org/0000-0001-9333-7777"
},
{
"@type": "Person",
"givenName": "Pedro",
"familyName": "Gonçalves",
"@id": "http://orcid.org/0000-0002-6987-4836"
},
{
"@type": "Person",
"givenName": "David",
"familyName": "Greenberg",
"@id": "http://orcid.org/0000-0002-8515-0459"
},
{
"@type": "Person",
"givenName": "Jakob",
"familyName": "Macke",
"https://orcid.org/0000-0001-5154-8912"
}
],
"citation": "https://doi.org/10.21105/joss.02505",
"relatedLink": [
"https://sbi-dev.github.io/sbi/"
],
"codeRepository": [
"https://github.com/mackelab/sbi/"
],
"referencePublication": [
{
"@type": "ScholarlyArticle",
"url": "https://joss.theoj.org/papers/10.21105/joss.02505",
"@id": "https://doi.org/10.21105/joss.02505"
}
],
"version": "0.21.0",
"license": "https://spdx.org/licenses/AGPL-3.0-only.html"
}