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  • 1
    EvilTransform

    EvilTransform

    Transport coordinate between earth(WGS-84) and mars in china(GCJ-02)

    ...The project implements forward and inverse transformations (WGS→GCJ and GCJ→WGS) as well as a higher-precision inverse method (GCJ→WGS exact) that trades speed for sub-meter accuracy, and it includes a utility for computing geodesic distance in meters. It’s implemented (or ported) across many languages and platforms — you’ll find reference implementations in Go, C/C++/Obj-C, Java, JavaScript, Python, PHP, C#, Haskell, Rust, Swift, MATLAB and more — which makes it easy to drop into server, client, or mobile codebases. The README documents the API signatures and describes expected numeric accuracy (e.g., ~1–2 m for the standard inverse, <0.5 m for the exact inverse) and when to use each routine.
    Downloads: 0 This Week
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  • 2
    libpostal

    libpostal

    A C library for parsing/normalizing street addresses around the world

    A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data. libpostal is a C library for parsing/normalizing street addresses around the world using statistical NLP and open data. The goal of this project is to understand location-based strings in every language, everywhere. Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services,...
    Downloads: 0 This Week
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  • 3

    QCyclingPower

    Obtain your cycling power

    QCyclingPower is a usefull tool that allow you to calculate your cycling power using GPS Tracks (GPX/KML). You'll be able to compare different tracks. Today the tool cannot be used. Go on wiki page for more detailed state of the project. No time line defined by the way. I'm not crazy.
    Downloads: 0 This Week
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  • 4
    Particular filter CUDA

    Particular filter CUDA

    Improvements of positioning algorithms using CUDA

    ...We will improve programs which are already working on CPU in order to make them compatible with the CUDA technology offered by Nvidia. The advantage of this technology is that it allows us to use massive multithreading and so make calculations go faster. Algorithms will be implemented in C++.
    Downloads: 0 This Week
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