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Showing 4 open source projects for "python script"

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  • Ango Hub | All-in-one data labeling platform Icon
    Ango Hub | All-in-one data labeling platform

    For AI teams and Computer Vision team in organizations of all size

    AI-Assisted features of the Ango Hub will automate your AI data workflows to improve data labeling efficiency and model RLHF, all while allowing domain experts to focus on providing high-quality data.
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  • Enterprise-Class Managed File Transfer. Icon
    Enterprise-Class Managed File Transfer.

    For organizations that need to automate secure file transfers to protect sensitive data.

    Diplomat MFT by Coviant Software is a secure, reliable managed file transfer solution designed to simplify and automate SFTP, FTPS, and HTTPS file transfers. Built for seamless integration, Diplomat MFT works across major cloud storage platforms, including AWS S3, Azure Blob, Google Cloud, Oracle Cloud, SharePoint, Dropbox, Box, and more.
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  • 1

    QG fantasy maps plugins

    Some pythons plugins to enhance fantasy maps creation with QGis

    QGis permit the use of python script to handle maps. Here are some python code ready to use and modify, and some associated samples.
    Downloads: 0 This Week
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  • 2
    A simple and still alpha Python script to extract features out of an OpenStreetMap (OSM) file into basic Keyhole markup language (KML)
    Downloads: 1 This Week
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  • 3
    This script analyzes a GPS-tracklog to find the position where digital images were taken. It's main objectives are to embed this position into the EXIF-data and to display the images in Google Earth.
    1 Review
    Downloads: 0 This Week
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  • 4
    Python script for Geocachers. Takes GPX file (eg from Geotoad), downloads waypoints to Garmin Etrex, and produces OpenOffice quick-reference document with the descriptions and hints.
    Downloads: 0 This Week
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  • Intelligent testing agents | Checksum.ai Icon
    Intelligent testing agents | Checksum.ai

    Checksum generates, runs, and maintains end-to-end tests automatically so your team ships with confidence as code output grows.

    Coding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
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