Showing 5 open source projects for "java jdk 17"

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    chessPDFBrowser

    chessPDFBrowser

    Chess application whichs allows working with chess PDF books and PGNs.

    ...You can now play games against uci engines. pdf2pgn command line command included. Detailed documentation. Multilanguage currently support for English, Spanish and Catalan. Dark mode option. JDK-17 compatibility You will find more about it at this web sites: https://chesspdfbrowser.com?origin=sourceforge https://www.frojasg1.com:8443/downloads_web/web/html/chessPdfBrowser.html?origin=sourceforge
    Downloads: 45 This Week
    Last Update:
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  • 2
    OculiX

    OculiX

    Visual Automation IDE — automate anything you see on screen

    ...Key features: - Guided step-by-step recorder with live code preview - Image recognition via OpenCV 4.10 - Dual OCR: Tesseract (built-in) + PaddleOCR (neural, high precision) - Local and remote automation via integrated VNC - SSH tunnels via embedded JSch - Cross-platform: Windows, macOS (Apple Silicon M1-M4), Linux - Scripting: Jython, JRuby, Java, PowerShell, AppleScript - Java 17 recommended (Java 8+ supported) - Full CI/CD with automated builds for all platforms Used worldwide for test automation, RPA, and visual regression testing. MIT License. Maintained by oculix-org.
    Downloads: 42 This Week
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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...
    Downloads: 0 This Week
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  • 4
    JCLAL

    JCLAL

    A Java Class Library for Active Learning

    ...If you want to refer to JCLAL in a publication, please cite the following JMLR paper. The full citation is: Oscar Reyes, Eduardo Pérez, María del Carmen Rodríguez-Hernández, Habib M. Fardoun, Sebastián Ventura. JCLAL: A Java Framework for Active Learning. Journal of Machine Learning Research, 17(95):1-5, 2016.
    Downloads: 10 This Week
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  • 5
    The Generation5 Java Development Kit (JDK) enables users to create demonstration programs and applets for a wide variety of Artificial Intelligence and Artificial Life paradigms.
    Downloads: 0 This Week
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