Showing 9 open source projects for "google-visualization-python"

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    commit-autosuggestions

    commit-autosuggestions

    A tool that AI automatically recommends commit messages

    ...We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.
    Downloads: 0 This Week
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  • 2
    Command Line Parser GetPot

    Command Line Parser GetPot

    Tool to parse the command line and configuration files.

    Powerful command line and configuration file parsing for C++, Python, Ruby and Java (others to come). This tool provides many features, such as separate treatment for options, variables, and flags, unrecognized object detection, prefixes and much more.
    Downloads: 4 This Week
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  • 3

    BioC

    We describe a simple XML format to share text documents and annotation

    A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are...
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    Downloads: 4 This Week
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  • 4
    A collection of software made by Milos Rancic.
    Downloads: 0 This Week
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    PROJECT HAS MOVED! ROS is now hosted at https://code.ros.org/gf/project/ros/
    Downloads: 0 This Week
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  • 6
    Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
    Downloads: 0 This Week
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  • 7
    Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
    Downloads: 0 This Week
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  • 8
    CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.
    Downloads: 0 This Week
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  • 9
    The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
    Downloads: 0 This Week
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