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FEAT
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FEAT

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

by Sha-Lab · GitHub
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computer-visioncvpr2020few-shotMITPython
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In plain words

Implement few-shot learning techniques for computer vision tasks using provided code examples.

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2026-07-202026-08-31
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📄 About

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

FEAT has 434 stars on GitHub. It has been forked 86 times. FEAT is written mainly in Python. It has been in active development since 2018. FEAT is available under the MIT license. Its main topics are computer-vision, cvpr2020, few-shot, few-shot-learning.

Frequently asked questions

What is FEAT?

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

Is FEAT open source?

FEAT is an open-source project. It is released under the MIT license.

Is FEAT free?

Yes. FEAT is free and open source — you can use, modify and self-host it.

What license does FEAT use?

FEAT is available under the MIT license.

What language is FEAT written in?

FEAT is written mainly in Python.

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