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Deep Java Library (DJL) Overview

An engine-agnostic deep learning framework in Java

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration.

Additional Details for Deep Java Library (DJL)

Operating Systems

Linux, Windows

Programming Language

Java

Registered

2022-08-05

Last Updated

2025-12-15

Maintainers

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Deep Java Library (DJL)

An engine-agnostic deep learning framework in Java

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Additional Details for Deep Java Library (DJL)

Operating Systems

Programming Language

Registered

Last Updated

Categories

Maintainers

Keep Me Updated!