4 projects for "brain computer interface" with 2 filters applied:

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    AI Deadlines

    AI Deadlines

    AI conference deadline countdowns

    AI Deadlines is an open-source project that provides a centralized system for tracking important submission deadlines for major artificial intelligence and machine learning conferences. The repository powers a website that displays countdown timers and structured information for top research conferences across subfields such as computer vision, natural language processing, machine learning, and robotics. The project maintains a curated dataset of conferences that includes metadata such as...
    Downloads: 0 This Week
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  • 2
    SSD

    SSD

    A PyTorch Implementation of Single Shot MultiBox Detector

    ...It supports commonly used benchmark datasets such as PASCAL VOC and MS COCO, and it also provides scripts to simplify downloading and setting up those datasets. For training visibility, the project includes support for Visdom so users can monitor loss in real time through a browser-based interface. Its structure makes it useful both as a reference implementation for learning SSD and as a base for custom experimentation in detection research or practical computer vision projects.
    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

    Cinefile

    A category-based approach to exploring film data.

    ...It allows the user to identify abstract categories of films by providing examples of category members, learns to classify films as belonging or not belonging to those categories, and provides a graphical interface for exploring and comparing categories. Cinefile is designed to work with data retrieved from the Internet Movie Database (imdb.com). This data is used for classification and is the subject of the category-based analysis. Cinefile was developed by the University of Mary Washington's Computer Science department (http://cas.umw.edu/computerscience).
    Downloads: 0 This Week
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