Deep Java Library (DJL) is an open-source toolkit for building, training, and deploying machine learning models using Java and popular ML frameworks.
Build and run machine learning models in Java
DJL, or Deep Java Library, is a user-friendly toolkit that lets you build, train, and deploy machine learning models directly in Java. Whether you're a developer familiar with Java or someone looking to integrate AI into existing Java projects, DJL makes it easier to work with deep learning technologies without switching languages.
You can use DJL to access a variety of machine learning frameworks, experiment with pre-trained models, or create your own custom solutions. The library is designed to be approachable for both beginners and advanced users, offering clear documentation and helpful examples to get you started quickly.
DJL stands out by focusing on the Java ecosystem, making AI development accessible to a wide audience. If you want to bring machine learning capabilities to your Java applications, DJL provides the tools and flexibility you need in an open-source package.
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