jianghaojun / Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Why this job: name: awesome
What it does
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 413
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Not stated
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 9 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: topics and project record
Topics
- computer-vision
- deep-learning
- machine-learning
- multimodal-deep-learning
- parameter-efficient-learning
- parameter-efficient-tuning
- transfer-learning
Project record
- JobLists and guides
- StatusListed
- Commits68
- Forks26
- Watching17
- Stars in 28 days+1
- CreatedDec 22, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026