Published December 8, 2020
| Version 2.0.0
Software
Open
beringresearch/ivis: ivis: dimensionality reduction in very large datasets using Siamese Networks
Authors/Creators
- 1. Bering Limited
- 2. University of Oxford
- 3. @risQinc and @level11analytics
Description
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
Files
beringresearch/ivis-2.0.0.zip
Files
(12.2 MB)
| Name | Size | Download all |
|---|---|---|
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md5:8a399c78a2b207b26cb0c3d70faeef9e
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12.2 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/beringresearch/ivis/tree/2.0.0 (URL)