Build and deploy deep learning models using Java without needing to be an expert in machine learning.
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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.
An Engine-Agnostic Deep Learning Framework in Java
djl is an open-source project. It is released under the Apache-2.0 license.
Yes. djl is free and open source — you can use, modify and self-host it.
djl is available under the Apache-2.0 license.
djl is written mainly in Java.
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