Showing 4 open source projects for "data integration"

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    CTeX-kit

    CTeX-kit

    Macro Packages and Scripts for Chinese TeX users

    CTeX-kit is a collection of TeX/LaTeX/ConTeXt macro packages, related scripts, and resource files made specifically for Chinese TeX users, especially Mandarin users. This project aims to bring together many existing efforts including ctex, xeCJK, zhspacing, LuaTeX-related Chinese support, etc.
    Downloads: 9 This Week
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    OSHMI - Open Substation HMI

    OSHMI - Open Substation HMI

    SCADA HMI for substations, IoT and automation applications

    Now with IEC61850 support! This project combines existing open source projects and tools to create a very capable, mobile and cloud-friendly HMI system that can rival proprietary software. This approach makes it possible to join forces of each project (Chromium, SVG/HTML5, PHP, Lua, SQLite, Inkscape, Lib61850, OpenDNP3, Nginx, Vega, PostgreSQL, Grafana,…) to achieve a great set of open, evergreen, modular and customizable tools for building great HMIs for automation projects. This is not...
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    Downloads: 20 This Week
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  • 3
    APIOAK

    APIOAK

    Full Lifecycle Management API Gateway

    APIOAK provides full life cycle management of API release, management, and operation and maintenance. Assist users in simple, fast, low-cost, low-risk implementation of microservice aggregation, front-end and back-end separation, system integration, and open functions and data to partners and developers. APIOAK performance is almost comparable to native Nginx, and provides dynamic authentication, flow control and other functions through the plug-in mechanism, and supports custom plug-ins according to specific business scenarios. It also provides a multiple of dynamic load balancing strategies and a powerful and easy-to-use console management panel.
    Downloads: 0 This Week
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  • 4
    MultiPathNet

    MultiPathNet

    A Torch implementation of the object detection network

    MultiPathNet is a Torch-7 implementation of the “A MultiPath Network for Object Detection” paper (BMVC 2016), developed by Facebook AI Research. It extends the Fast R-CNN framework by introducing multiple network “paths” to enhance feature extraction and object recognition robustness. The MultiPath architecture incorporates skip connections and multi-scale processing to capture both fine-grained details and high-level context within a single detection pipeline. This results in improved...
    Downloads: 1 This Week
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