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ivis: dimensionality reduction in very large datasets using Siamese Networks
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@idroz idroz released this 29 Oct 12:53
· 453 commits to master since this release
1.6.0
e437515

Major features:

  • Support for semi-supervised dimensionality reduction
  • Switch from using fit_generator to fit for training the Keras model
  • Address eager execution issues with TF 2.0
  • User-configurable on-disk-building of Annoy index.
  • Tidy handling of interrupted multi-thread processes

Minor features:

  • Tests for semi-supervised DR

  • Improved input validation

  • Better hyper parameter validation

  • Slight changes to default hyperparameters

  • Bug fixes

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