ivis: dimensionality reduction in very large datasets using Siamese Networks

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