项目介绍

Amir-Hofo/EEGNet 是一个托管在 GitHub 上的开源项目,主要使用 Jupyter Notebook 编写,目前获得 58 个 Star、4 次 Fork。

仓库全名
Amir-Hofo/EEGNet
Star 数
58
Fork 数
4

README 摘要

EEGNetPytorch 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 Interfaces". EEG Net is a compact convolutional network that is both lightweight with few parameters and powerful in processing raw EEG signals. My Environment Information Python Version : 3.9.18 PyTorch…

完整内容见 GitHub 原始 README 或本页 。

常见问题

EEGNet 用什么语言开发?

主要使用 Jupyter Notebook 编写,目前有 58 个 Star。

如何获取 EEGNet 的源码?

可以直接克隆仓库:git clone https://github.com/Amir-Hofo/EEGNet.git,默认分支为 main;安装与运行步骤见仓库 README。

EEGNet 最近还在维护吗?

仓库最近一次更新为 2025年4月2日,当前没有未关闭的 Issue;Star 数为 58,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

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 Interfaces".

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

语言占比

Jupyter Notebook

贡献者

README

EEGNet_Pytorch

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 Interfaces”. EEG Net is a compact convolutional network that is both lightweight with few parameters and powerful in processing raw EEG signals.

EEGNet-architecture

My Environment Information

Python Version : 3.9.18
PyTorch Version : 2.1.0
Torchmetrics Version : 1.2.0

References

EEGNet : A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces
DOI : 10.1088/1741-2552/aace8c

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