https://github.com/gyorilab/opaque

Outlier Prevalence Analysis for Quantification of Unknown Entities
https://github.com/gyorilab/opaque

Last synced: 2 months ago
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Outlier Prevalence Analysis for Quantification of Unknown Entities

• Host: GitHub
• URL: https://github.com/gyorilab/opaque
• Owner: gyorilab
• License: bsd-2-clause
• Created: 2021-04-09T22:46:36.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-03-04T19:15:45.000Z (about 1 year ago)
• Last Synced: 2025-01-18T07:26:27.485Z (4 months ago)
• Language: Python
• Size: 3.65 MB
• Stars: 0
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# opaque

Outlier Prevalence Analysis for Quantification of Unknown Entities

In progress open-world machine learning tool. Will allow for

interval estimation of the proportion of datapoints in a real world dataset

that are outside of the closed world of a training set under certain

limited circumstances.

## Funding

Development of this software was supported by the Defense Advanced Research

Projects Agency under awards W911NF-20-1-0255 and W911NF-15-1-0544.