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aliyun-auto-signin

包含多账户和签到推送功能的阿里云盘自动签到脚本, 支持使用 GitHub Action 运行

aliyunpan

阿里云盘小白羊版 阿里云盘PC版 aliyundriver

bci_mi_csp_dnn

Classification algorithm based on motor imagery brain-computer interface

bci_mi_wavelet_cnn

Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

braindecode

Moved to https://github.com/TNTLFreiburg/braindecode!

braindecode-1

Deep learning software to decode EEG or MEG signals 为了bbci文件而fork

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

convnext

Code release for ConvNeXt model

course-algorithm

选修课程，《算法分析与设计》课程仓库

cp_mixednet

A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

eeg-atcnet

Attention temporal convolutional network for EEG-based motor imagery classification

eeg-classification

paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”

eeg-conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

eeg-itnet

eeg-transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

eeg-transformer-1

Analysis of Transformer attention in EEG signal classification

eeg-transformer-2

A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

exbrainable

An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation

linux-study

maxvit

PyTorch reimplementation of the paper "MaxViT: Multi-Axis Vision Transformer" [arXiv 2022].

min2net

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

nicevpn

一个开放的节点库，为了自由的隐私

non-local-nn-pytorch

PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

pose2seg

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

pymycobot

This is a python API for mycobot serial communication.

pytorch-center-loss

Pytorch implementation of Center Loss

resume

srs_web

SRS_WEB 版本

ts-seffnet

The model code for the TS-SEFFNet proposed in the paper "A Temporal-Spectral-based Squeeze-and-Excitation Feature Fusion Network for Motor Imagery EEG Decoding"