Showing 3 open source projects for "project java"

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    gradle-maven-publish-plugin

    gradle-maven-publish-plugin

    A Gradle plugin that publishes your Android and Kotlin libraries

    A Gradle plugin that publishes your Android and Kotlin libraries, including sources and javadoc, to Maven Central or any other Nexus instance. Gradle plugin that creates a publish task to automatically upload all of your Java, Kotlin or Android libraries to any Maven instance. This plugin is based on Chris Banes initial implementation and has been enhanced to add Kotlin support and keep up with the latest changes. No need to know how publishing works for different project types. AGP provides an API to configure publishing, java-library too, Kotlin Multiplatform does most things automatically but not everything. ...
    Downloads: 4 This Week
    Last Update:
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  • 2
    jimmer

    jimmer

    A revolutionary ORM framework for both java and kotlin.

    A revolutionary ORM framework for both Java and kotlin and a complete integrated solution. You can view everything from the documentation. Brings dynamism into static language ORM frameworks, achieving flexible capabilities for operating on complex dynamic data structures without compromising the complete compile-time safety checks of static languages, eliminating DTO explosion and unafraid of engineering expansion and changing requirements. Its innovative SQL DSL supports dynamic table...
    Downloads: 7 This Week
    Last Update:
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  • 3
    KotlinDL

    KotlinDL

    High-level Deep Learning Framework written in Kotlin

    KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning models in production environments.
    Downloads: 6 This Week
    Last Update:
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