Deep-Learning-for-Human-Activity-Recognition

Deep-Learning-for-Human-Activity-Recognition

takumiw

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

74 Stars
17 Forks
74 Watchers
Jupyter Notebook Language
mit License
100 SrcLog Score
Cost to Build
$18.7K
Market Value
$29.5K

Growth over time

3 data points  ·  2026-04-08 → 2026-04-23
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What is the takumiw/Deep-Learning-for-Human-Activity-Recognition GitHub project? Description: "Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Deep-Learning-for-Human-Activity-Recognition

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git clone https://github.com/takumiw/Deep-Learning-for-Human-Activity-Recognition.git

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[email protected]:takumiw/Deep-Learning-for-Human-Activity-Recognition.git

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