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4

106

mit

3

This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

bci eeg eegnet python pytorch bci-systems eeg-signals deep-learning machine-learning signal-processing depthwise-convolutions convolutional-neural-networks depthwise-separable-convolutions

Created 2024-05-03

19 commits to main branch, last one 2 months ago

lpn-pytorch zhang943

20

75

mit

3

This repository has no description...

lightweight deep-learning global-context human-pose-estimation depthwise-convolutions

Created 2020-01-10

11 commits to master branch, last one 4 years ago

EEGNet_Pytorch Amir-Hofo

1

31

unknown

2

This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer...

cnn eeg eegnet python eeg-net pytorch eeg-signals deep-learning signal-processing depthwise-convolutions convolutional-neural-network depthwise-separable-convolutions

Created 2024-02-06

12 commits to main branch, last one 10 months ago