Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Explore a collection of research papers on efficient methods for transferring learning in computer vision.
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Free · no card · unsubscribe anytimeA collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Awesome-Parameter-Efficient-Transfer-Learning has 412 stars on GitHub. It has been forked 25 times. It has been in active development since 2022. Awesome-Parameter-Efficient-Transfer-Learning is available under the MIT license. Its main topics are computer-vision, deep-learning, machine-learning, multimodal-deep-learning.
What is Awesome-Parameter-Efficient-Transfer-Learning?
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Is Awesome-Parameter-Efficient-Transfer-Learning open source?
Awesome-Parameter-Efficient-Transfer-Learning is an open-source project. It is released under the MIT license.
Is Awesome-Parameter-Efficient-Transfer-Learning free?
Yes. Awesome-Parameter-Efficient-Transfer-Learning is free and open source — you can use, modify and self-host it.
What license does Awesome-Parameter-Efficient-Transfer-Learning use?
Awesome-Parameter-Efficient-Transfer-Learning is available under the MIT license.
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