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ShuffleNet
Python

ShuffleNet

ShuffleNet Implementation in TensorFlow

by MG2033 · GitHub
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classificationcomputer-visiondeep-learningApache-2.0Python
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Run a lightweight version of ShuffleNet for image classification on mobile devices using TensorFlow.

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2026-07-202026-08-31
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📄 About

ShuffleNet Implementation in TensorFlow

ShuffleNet has 381 stars on GitHub. It has been forked 124 times. ShuffleNet is written mainly in Python. It has been in active development since 2017. ShuffleNet is available under the Apache-2.0 license. Its main topics are classification, computer-vision, deep-learning, group-convolution.

Frequently asked questions

What is ShuffleNet?

ShuffleNet Implementation in TensorFlow

Is ShuffleNet open source?

ShuffleNet is an open-source project. It is released under the Apache-2.0 license.

Is ShuffleNet free?

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

What license does ShuffleNet use?

ShuffleNet is available under the Apache-2.0 license.

What language is ShuffleNet written in?

ShuffleNet is written mainly in Python.

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