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djl
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djl

An Engine-Agnostic Deep Learning Framework in Java

by deepjavalibrary · GitHub
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aiautograddeep-learningApache-2.0Java
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In plain words

Build and deploy deep learning models using Java without needing to be an expert in machine learning.

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4.84k4.83k
2026-07-042026-08-31
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📄 About

An Engine-Agnostic Deep Learning Framework in Java

djl has 4.8k stars on GitHub. It has been forked 752 times. djl is written mainly in Java. It has been in active development since 2019. djl is available under the Apache-2.0 license. Its main topics are ai, autograd, deep-learning, deep-neural-networks.

Frequently asked questions

What is djl?

An Engine-Agnostic Deep Learning Framework in Java

Is djl open source?

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

Is djl free?

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

What license does djl use?

djl is available under the Apache-2.0 license.

What language is djl written in?

djl is written mainly in Java.

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