Showing 409 open source projects for "git:/git.code.sf.net/p/docfetcher/code"

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  • 1
    Medical Datasets (In a text file, with space separated values) can be loaded to the system. By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.
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  • 2
    This project contains code for evaluation of reflection symmetry detection algorithms
    Downloads: 0 This Week
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  • 3
    BCI Project Triathlon
    A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
    Downloads: 0 This Week
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  • 4
    Brainiac, Is C/C++ Libraries, Programs, And Python, And Lua Scripts For Neural Networking And Genetic Programming, In An Attempt To Create A "Glue-It-All-Together" Project, Striving Towards General Artificial Intelligence
    Downloads: 0 This Week
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  • 5
    Automatic Intelligent Learning Code.
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  • 6
    This is C++ application code that implements Gene Expression Programming, or GEP - a form of genetic algorithm.
    Downloads: 2 This Week
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  • 7
    Monk Computer Vision

    Monk Computer Vision

    A low code unified framework for computer vision and deep learning

    ... - Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection. Monk object detection is our take on assembling state of the art object detection, image segmentation, pose estimation algorithms at one place, making them low code and easily configurable on any machine. - Monk GUI - https://github.com/Tessellate-Imaging/Monk_Gui. An interface over these low code tools for non coders.
    Downloads: 0 This Week
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  • 8
    GURLS

    GURLS

    Grand Unified Regularized Least Squares

    ... * Wide range of optimization routine. Please contact us if you want to join the developers' team or, otherwirse, feel free to download and use the library in your code and send us feedbacks about existing bugs, possible improvements and further developments.
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  • 9

    text_summurization_abstractive_methods

    Multiple implementations for abstractive text summurization

    This repo is built to collect multiple implementations for abstractive approaches to address text summarization it is built to simply run on google colab , in one notebook so you would only need an internet connection to run these examples without the need to have a powerful machine , so all the code examples would be in a jupyter format , and you don't have to download data to your device as we connect these jupyter notebooks to google drive
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