Showing 4 open source projects for "trains"

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    PilottAI

    PilottAI

    Python framework for building scalable multi-agent systems

    pilottai is an AI-based autonomous drone navigation system utilizing reinforcement learning for real-time decision-making. It is designed for simulating and training drones to fly safely through dynamic environments using AI-based controllers.
    Downloads: 0 This Week
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  • 2
    TCNOpen

    TCNOpen

    Components for IEC61375 standardised communication

    ...TCN (Train Communication Network) is a series of international standards (IEC61375) developed by Working Group 43 of the IEC (International Electrotechnical Commission), specifying a communication system for the data communication within and between vehicles of a train. It is currently in use on many thousands of trains in the world in order to allow electronic devices to exchange information while operating aboard the same train. TCNOpen follows the Open Source scheme, as the software is jointly developed by participating companies, according to their role, so as to achieve cheaper, quicker and better quality results.
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    Downloads: 54 This Week
    Last Update:
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  • 3

    London Bus Train Weather

    London Bus Train Weather on a Raspberry Pi using various free APIs

    This small project sits in my kitchen and provides simple access to the times of all local public transport services that you can use. One button cycles: a clock, bus arrival times at the local stop to a preset destination, trains to a specific destination and finally a summary weather forecast (if you need an umbrella!) It does not cover the Underground as these services are so frequent to not require a timetable. It runs adequately on an old Pi Zero W. All the APIs are free, but the Train and Weather require sign up. The device features a time out to prevent hammering the API. ...
    Downloads: 0 This Week
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  • 4
    GloVe

    GloVe

    GloVe model for distributed word representation

    ...The demo.sh script downloads a small corpus, consisting of the first 100M characters of Wikipedia. It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality.
    Downloads: 3 This Week
    Last Update:
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