software . 2019

ivis: dimensionality reduction in very large datasets using Siamese Networks

Drozdov, Ignat; Szubert, Benjamin;
Open Access
  • Published: 01 Jan 2019
  • Publisher: Zenodo
Abstract
<p>Major features:</p> <ul> <li>Support for semi-supervised dimensionality reduction</li> <li>Switch from using fit_generator to fit for training the Keras model</li> <li>Address eager execution issues with TF 2.0</li> <li>User-configurable on-disk-building of Annoy index.</li> <li>Tidy handling of interrupted multi-thread processes</li> </ul> <p>Minor features:</p> <ul> <li>Tests for semi-supervised DR</li> <li>Improved input validation</li> <li>Better hyper parameter validation</li> <li> <p>Slight changes to default hyperparameters</p> </li> <li> <p>Bug fixes</p> </li> </ul>
Zenodo
Software . 2019
Provider: Datacite
Zenodo
Software . 2019
Provider: Datacite
Zenodo
Software . 2019
Provider: Datacite
Zenodo
Software . 2019
Provider: Datacite
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software . 2019

ivis: dimensionality reduction in very large datasets using Siamese Networks

Drozdov, Ignat; Szubert, Benjamin;