Browse free open source Java Deep Learning Frameworks and projects below. Use the toggles on the left to filter open source Java Deep Learning Frameworks by OS, license, language, programming language, and project status.

  • Passwordless Authentication and Passwordless Security Icon
    Passwordless Authentication and Passwordless Security

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    Comprehensive Cybersecurity to Safeguard Your Organization | SOCRadar

    See what hackers already know about your organization – and stop them from getting in.

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  • 1
    Deep Java Library (DJL)

    Deep Java Library (DJL)

    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.
    Downloads: 2 This Week
    Last Update:
    See Project
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