https://github.com/mit-han-lab/once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
https://github.com/mit-han-lab/once-for-all

acceleration automl edge-ai efficient-model nas tinyml

Last synced: about 2 months ago
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[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

• Host: GitHub
• URL: https://github.com/mit-han-lab/once-for-all
• Owner: mit-han-lab
• License: mit
• Created: 2020-01-05T20:05:09.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-12-14T04:44:52.000Z (9 months ago)
• Last Synced: 2024-05-19T14:34:04.531Z (4 months ago)
• Topics: acceleration, automl, edge-ai, efficient-model, nas, tinyml
• Language: Python
• Homepage: https://ofa.mit.edu/
• Size: 6.83 MB
• Stars: 1,841
• Watchers: 53
• Forks: 332
• Open Issues: 59
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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