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https://github.com/jmschrei/apricot
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
https://github.com/jmschrei/apricot
data-science machine-learning python submodular-optimization submodularity
Last synced: about 2 months ago
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apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
- Host: GitHub
- URL: https://github.com/jmschrei/apricot
- Owner: jmschrei
- License: mit
- Created: 2018-08-12T02:42:12.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2023-11-17T16:30:15.000Z (10 months ago)
- Last Synced: 2024-05-15T13:22:48.556Z (4 months ago)
- Topics: data-science, machine-learning, python, submodular-optimization, submodularity
- Language: Jupyter Notebook
- Homepage:
- Size: 7 MB
- Stars: 490
- Watchers: 9
- Forks: 46
- Open Issues: 12
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Metadata Files:
- Readme: README.md
- License: LICENSE