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ivis: dimensionality reduction in very large datasets using Siamese Networks

Ignat Drozdov; Benjamin Szubert


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    "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>", 
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