There is a newer version of this record available.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 ( 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": "", 
  "codeRepository": "", 
  "datePublished": "2019-10-29", 
  "version": "1.6.0", 
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "@type": "SoftwareSourceCode", 
  "name": "ivis: dimensionality reduction in very large datasets using Siamese Networks"
All versions This version
Views 31744
Downloads 1103
Data volume 576.5 MB36.6 MB
Unique views 26443
Unique downloads 233


Cite as