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ivis: dimensionality reduction in very large datasets using Siamese Networks

Ignat Drozdov; Benjamin Szubert


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{
  "description": "<p>This release introduces a number of new features into <code>ivis</code>:</p>\n\n<ul>\n\t<li>Windows support</li>\n\t<li>Code changes to support <code>ivis</code> on Python2</li>\n\t<li>R package received a major facelift - with big thanks to JOSS reviewers</li>\n\t<li>Added cosine distance metric in triplet loss function</li>\n\t<li>Minor bug fixes and performance improvements</li>\n</ul>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "Bering Limited", 
      "@type": "Person", 
      "name": "Ignat Drozdov"
    }, 
    {
      "affiliation": "Bering Limited", 
      "@type": "Person", 
      "name": "Benjamin Szubert"
    }
  ], 
  "url": "https://zenodo.org/record/3361500", 
  "codeRepository": "https://github.com/beringresearch/ivis/tree/1.3.0", 
  "datePublished": "2019-08-06", 
  "version": "1.3.0", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3361500", 
  "@id": "https://doi.org/10.5281/zenodo.3361500", 
  "@type": "SoftwareSourceCode", 
  "name": "ivis: dimensionality reduction in very large datasets using Siamese Networks"
}
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