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DJL (Deep Java Library) is an open-source library for Deep Learning. It is engine agnostic so it can use the same native libraries that power the most popular python deep learning frameworks while allowing you to switch between them without code changes. It also focuses on ease of use to make deep learning as easy as possible for Java developers.
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DJL (Deep Java Library) is an open-source library for Deep Learning.
Unlike other Java options, it is engine agnostic so it can use the same native libraries that power the most popular python deep learning frameworks while allowing you to switch between them without code changes. This gives it much better interoperability so models trained in python can be put into production Java services. It also allows Java developers to make better use of the performance innovations and hardware support (GPU, TPU) that those engines offer. DJL has an especially high focus on ease of use and making deep learning as easy as possible for Java developers.
DJL is maintained by AWS, but it is fully open source (Apache2).