https://github.com/hosseinshn/dgsml

DGSML is the first method of semi-supervised meta learning that employs two novel loss functions to learn a predictive domain-invariant representation by taking both labeled and unlabeled samples from different input domains
https://github.com/hosseinshn/dgsml

Last synced: 7 days ago
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DGSML is the first method of semi-supervised meta learning that employs two novel loss functions to learn a predictive domain-invariant representation by taking both labeled and unlabeled samples from different input domains

• Host: GitHub
• URL: https://github.com/hosseinshn/dgsml
• Owner: hosseinshn
• License: gpl-3.0
• Created: 2020-06-06T00:47:47.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-10-03T16:20:16.000Z (about 4 years ago)
• Last Synced: 2023-09-07T23:57:37.757Z (about 1 year ago)
• Language: Python
• Homepage:
• Size: 278 MB
• Stars: 7
• Watchers: 3
• Forks: 1
• Open Issues: 0

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