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beringresearch/ivis: ivis: dimensionality reduction in very large datasets using Siamese Networks

Ignat; Benjamin Szubert; beringresearch; Kevin Rue-Albrecht; John Sheffield

Major ivis release!

Version 2.0 features:

  • Unsupervised, semi-supervised, and fully supervised dimensionality reduction
  • Support for arbitrary datasets:
    • N-dimensional arrays
    • Image files on disk
    • Custom data connectors
  • In- and out-of-memory data ingestion
  • Resumable training
  • Arbitrary neural network backbones
  • Customizable neighbour retrieval
  • Callbacks and Tensorboard integration

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