Showing 4 open source projects for "highway"

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    DkIT Bridge Designer

    DkIT Bridge Designer

    Dundalk Institute of Technology Virtual Bridge Design Competition

    The DkIT Bridge Designer will provide you with a realistic introduction to engineering through an authentic, hands-on design experience. This software provides you with the tools to model, test, and optimize a steel highway bridge, based on realistic specifications, constraints, and performance criteria. Supported by Dundalk Insititute of Technology and All-Island Funds, this is a virtual bridge designer that allows kids of all ages learn about engineering and compete with their classmates!
    Downloads: 5 This Week
    Last Update:
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  • 2

    alphabit.org

    Public files of alphabit.org domain

    ...eventually will contain source files and examples on the usage and customization of the code crafting tools being developed at alphabit.org domain... 1 . web server (nodejs), to share bits our way... the highway was too dangerous and inadequate. 2. window manager (xmonad), to enjoy work... as we are at it. 3. yet another new programming language (javascript), it does not yet exists and we would like to try it. more on all this as each of the mentioned projects get eventually created... maybe never ::: tomorrow is unknown.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Highway

    Highway

    Highway - A Modern Javascript Transitions Manager

    Highway is a lightweight (2.5ko gzipped), easy-to-use, flexible, and modern library to create AJAX navigations with animations on websites. Don't bother about all the processes behind the scenes and focus on creative animations.
    Downloads: 7 This Week
    Last Update:
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  • 4
    DeepTraffic

    DeepTraffic

    DeepTraffic is a deep reinforcement learning competition

    DeepTraffic is a deep reinforcement learning simulation designed to teach and evaluate autonomous driving algorithms in a dense highway environment. The system presents a simulated multi-lane highway where an AI-controlled vehicle must navigate traffic while maximizing speed and avoiding collisions. Participants design neural network policies that determine the vehicle’s actions, such as accelerating, decelerating, changing lanes, or maintaining speed. The project was created as part of an educational competition associated with MIT’s deep learning courses, encouraging students and researchers to experiment with reinforcement learning techniques. ...
    Downloads: 0 This Week
    Last Update:
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