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GitHub / SuperBruceJia / EEG-Motor-Imagery-Classification-CNNs-TensorFlow

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SuperBruceJia%2FEEG-Motor-Imagery-Classification-CNNs-TensorFlow

Stars: 181
Forks: 45
Open Issues: 3

License: None
Language: Python
Repo Size: 56.6 KB
Dependencies: 0

Created: almost 5 years ago
Updated: 3 days ago
Last pushed: 3 days ago
Last synced: 2 days ago

Commit Stats

Commits: 16
Authors: 2
Mean commits per author: 8.0
Development Distribution Score: 0.25
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow

Topics: brain-com, brain-computer-interface, cnns, convolutional-neural-networks, eeg, eeg-analysis, eeg-classification, eeg-data, eeg-signals, esi, matlab, motor-imagery, motor-imagery-classification, motor-imagery-tasks, motor-imagery-training, python, tensorflow, tensorflow-experiments, tensorflow-models

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