Deep-Learning-for-Human-Activity-Recognition and har-keras-cnn
These two tools are competitors, as both offer Keras-based implementations of convolutional neural networks for human activity recognition, with tool A providing a broader range of deep learning models and LightGBM in addition to CNNs, while tool B focuses specifically on 1D CNNs.
Maintenance
0/25
Adoption
9/25
Maturity
16/25
Community
19/25
Maintenance
0/25
Adoption
10/25
Maturity
8/25
Community
23/25
Stars: 74
Forks: 17
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 165
Forks: 75
Downloads: —
Commits (30d): 0
Language: Python
License: —
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About Deep-Learning-for-Human-Activity-Recognition
takumiw/Deep-Learning-for-Human-Activity-Recognition
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
About har-keras-cnn
ni79ls/har-keras-cnn
Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
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