There is a newer version of this record available.

Software Open Access

ivis: dimensionality reduction in very large datasets using Siamese Networks

Ignat Drozdov; Benjamin Szubert


JSON-LD (schema.org) Export

{
  "description": "<p>Major features:</p>\n\n<ul>\n\t<li>Support for semi-supervised dimensionality reduction</li>\n\t<li>Switch from using fit_generator to fit for training the Keras model</li>\n\t<li>Address eager execution issues with TF 2.0</li>\n\t<li>User-configurable on-disk-building of Annoy index.</li>\n\t<li>Tidy handling of interrupted multi-thread processes</li>\n</ul>\n\n<p>Minor features:</p>\n\n<ul>\n\t<li>Tests for semi-supervised DR</li>\n\t<li>Improved input validation</li>\n\t<li>Better hyper parameter validation</li>\n\t<li>\n\t<p>Slight changes to default hyperparameters</p>\n\t</li>\n\t<li>\n\t<p>Bug fixes</p>\n\t</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/3522018", 
  "codeRepository": "https://github.com/beringresearch/ivis/tree/1.6.0", 
  "datePublished": "2019-10-29", 
  "version": "1.6.0", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3522018", 
  "@id": "https://doi.org/10.5281/zenodo.3522018", 
  "@type": "SoftwareSourceCode", 
  "name": "ivis: dimensionality reduction in very large datasets using Siamese Networks"
}
317
110
views
downloads
All versions This version
Views 31744
Downloads 1103
Data volume 576.5 MB36.6 MB
Unique views 26443
Unique downloads 233

Share

Cite as