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carl: a likelihood-free inference toolbox

Louppe, Gilles; Cranmer, Kyle; Pavez, Juan


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{
  "description": "<p>Likelihood-free inference toolbox. Supported features include:</p>\n\n<ul>\n\t<li>Composition and fitting of distributions;</li>\n\t<li>Likelihood-free inference from classifiers;</li>\n\t<li>Parameterized supervised learning;</li>\n\t<li>Calibration tools.&nbsp;</li>\n</ul>\n\n<p>&nbsp;</p>", 
  "license": "https://opensource.org/licenses/MIT", 
  "creator": [
    {
      "affiliation": "NYU + CERN", 
      "@type": "Person", 
      "name": "Louppe, Gilles"
    }, 
    {
      "affiliation": "New York University", 
      "@type": "Person", 
      "name": "Cranmer, Kyle"
    }, 
    {
      "affiliation": "Federico Santa Maria University", 
      "@type": "Person", 
      "name": "Pavez, Juan"
    }
  ], 
  "url": "https://zenodo.org/record/47798", 
  "codeRepository": "https://github.com/diana-hep/carl/tree/v0.1", 
  "datePublished": "2016-03-18", 
  "version": "v0.1", 
  "keywords": [
    "likelihood free, surrogate model, inference, software, python, machine learning"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.47798", 
  "@id": "https://doi.org/10.5281/zenodo.47798", 
  "@type": "SoftwareSourceCode", 
  "name": "carl: a likelihood-free inference toolbox"
}
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