lil-i321

lil-i321

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Gait-Recognition-Using-Smartphones

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

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MS-GAIT_feature_extraction

Software detailing the extraction of smartphone and smartwatch-based ambulatory features to accompany the publication: Creagh et al. (2020), "Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test", IEEE J-BHI, 10.1109/JBHI.2020.2998187 https://ieeexplore.ieee.org/abstract/document/9103259 The codebase demonstrates how to perform modular, scalable and parallelizable gait feature extraction from triaxial inertial sensor data.

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whisper

Robust Speech Recognition via Large-Scale Weak Supervision

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zotodo

A Zotero plugin to make Todoist tasks for papers added to Zotero

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