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  1. Library to detect gait events from 3-axis accelerometer signals

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  2. Forked from guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

    Human Activity Recognition (HAR) using stacked residual bidirectional-LSTM cells (RNN) with TensorFlow. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_D…

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  3. PyTorch社区活跃人物陈云编写的《深度学习框架PyTorch入门与实践》的学习代码记录

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