Showing 4 open source projects for "java bridge"

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  • 1
    Grassroots DICOM

    Grassroots DICOM

    Cross-platform DICOM implementation

    Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM datasets.
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    Downloads: 101 This Week
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  • 2
    OoeyGUI MESS Launcher

    OoeyGUI MESS Launcher

    GUI Launcher to launch MAME Emulated TI-99 16bit Computer Systems

    ...Please be aware that MAME program switches have changed and this launcher will not work with older versions. Configure your system directories in the 'Configuration' tab and 'Save OOEYGUI Configuration'. To use the TIIMAGETOOL 'Serial Bridge' configuration you must have JAVA installed. For Windows 64bit systems please refer to the manual for getting the RXTX interface for java re-enabled.
    Downloads: 0 This Week
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  • 3
    SQLFlow

    SQLFlow

    SQL compiler bridging databases and machine learning workflows

    SQLFlow is an open source project designed to bridge the gap between traditional SQL-based data processing and modern machine learning workflows by extending SQL syntax with AI capabilities. It acts as a compiler that translates SQL programs into executable workflows, enabling users to train, evaluate, and deploy machine learning models directly from SQL statements. It integrates with multiple database engines such as MySQL, Hive, and MaxCompute, while also supporting machine learning...
    Downloads: 14 This Week
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  • 4
    pyhanlp

    pyhanlp

    Chinese participle

    ...In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. It is especially useful when you need a pragmatic “get results quickly” NLP layer for segmentation, tagging, entity extraction, parsing, or keyword-style tasks rather than experimenting with model training from scratch.
    Downloads: 0 This Week
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