Ignat
Benjamin Szubert
beringresearch
Kevin Rue-Albrecht
John Sheffield
2020-12-08
<p>Major ivis release!</p>
<p>Version 2.0 features:</p>
<ul>
<li>Unsupervised, semi-supervised, and fully supervised dimensionality reduction</li>
<li>Support for arbitrary datasets:<ul>
<li><strong>N-dimensional arrays</strong></li>
<li><strong>Image files on disk</strong></li>
<li><strong>Custom data connectors</strong></li>
</ul>
</li>
<li>In- and out-of-memory data ingestion</li>
<li>Resumable training</li>
<li><strong>Arbitrary neural network backbones</strong></li>
<li><strong>Customizable neighbour retrieval</strong></li>
<li>Callbacks and Tensorboard integration</li>
</ul>
https://doi.org/10.5281/zenodo.4311935
oai:zenodo.org:4311935
Zenodo
https://github.com/beringresearch/ivis/tree/2.0.0
https://doi.org/10.5281/zenodo.2907841
info:eu-repo/semantics/openAccess
Other (Open)
beringresearch/ivis: ivis: dimensionality reduction in very large datasets using Siamese Networks
info:eu-repo/semantics/other