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@USC-InfoLab

InfoLab, University of Southern California

Information laboratory (InfoLAB) at the University of Southern California

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  1. rddc2020 rddc2020 Public

    road damage detection challenge 2020

    Jupyter Notebook 276 77

  2. NeuroGNN NeuroGNN Public

    NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, sema…

    Jupyter Notebook 28 1

  3. infantPA infantPA Public

    Python 2

  4. w4h-integrated-toolkit w4h-integrated-toolkit Public

    The W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.

    Python 2 1

  5. pyGarminAPI pyGarminAPI Public

    Python library for seamless interaction with Garmin API, enabling fetching of activity and health data using Garmin Pull API.

    Python 1

  6. StreamSim StreamSim Public

    StreamSim is a versatile real-time data streaming simulator tool for researchers and developers that enables the simulation of real-time streaming behavior for tabular data, facilitating comprehens…

    Python 1 1

Repositories

Showing 10 of 24 repositories
  • w4h-icde-demo Public
    USC-InfoLab/w4h-icde-demo’s past year of commit activity
    Python 0 0 0 0 Updated Nov 13, 2024
  • w4h-documentation Public

    End user documentation for the W4H platform

    USC-InfoLab/w4h-documentation’s past year of commit activity
    0 MIT 0 0 1 Updated Oct 27, 2024
  • orddc2024 Public
    USC-InfoLab/orddc2024’s past year of commit activity
    Jupyter Notebook 1 0 0 0 Updated Sep 15, 2024
  • pyFitbitAPI Public
    USC-InfoLab/pyFitbitAPI’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Aug 14, 2024
  • w4h-db Public
    USC-InfoLab/w4h-db’s past year of commit activity
    Shell 0 MIT 0 0 0 Updated Aug 12, 2024
  • NeuroGNN Public

    NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.

    USC-InfoLab/NeuroGNN’s past year of commit activity
    Jupyter Notebook 28 MIT 1 1 0 Updated Aug 7, 2024
  • infolab.usc.edu Public template Forked from alshedivat/al-folio

    A beautiful, simple, clean, and responsive Jekyll theme for academics

    USC-InfoLab/infolab.usc.edu’s past year of commit activity
    HTML 0 MIT 11,314 0 0 Updated Jun 26, 2024
  • w4h-integrated-toolkit Public

    The W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.

    USC-InfoLab/w4h-integrated-toolkit’s past year of commit activity
    Python 2 1 0 0 Updated May 15, 2024
  • infantPA Public
    USC-InfoLab/infantPA’s past year of commit activity
    Python 2 MIT 0 0 0 Updated Apr 23, 2024
  • w4h-lib Public

    Library functions for w4h, reusable for other modules

    USC-InfoLab/w4h-lib’s past year of commit activity
    Python 0 0 0 0 Updated Mar 11, 2024
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