Pinned Repositories
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。
mysterious756's Repositories
mysterious756/aliyunpan
阿里云盘小白羊版 阿里云盘PC版 aliyundriver
mysterious756/BCI_MI_CSP_DNN
Classification algorithm based on motor imagery brain-computer interface
mysterious756/BCI_MI_Wavelet_CNN
Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network
mysterious756/braindecode
Moved to https://github.com/TNTLFreiburg/braindecode!
mysterious756/braindecode-1
Deep learning software to decode EEG or MEG signals 为了bbci文件而fork
mysterious756/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
mysterious756/ConvNeXt
Code release for ConvNeXt model
mysterious756/course-algorithm
选修课程，《算法分析与设计》课程仓库
mysterious756/CP_MixedNet
A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding
mysterious756/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。
mysterious756/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
mysterious756/EEG-ATCNet
Attention temporal convolutional network for EEG-based motor imagery classification
mysterious756/EEG-classification
paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”
mysterious756/EEG-Conformer
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
mysterious756/EEG-ITNet
mysterious756/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.
mysterious756/eeg-transformer-1
Analysis of Transformer attention in EEG signal classification
mysterious756/EEG-Transformer-2
A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification
mysterious756/ExBrainable
An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation
mysterious756/linux-study
mysterious756/MaxViT
PyTorch reimplementation of the paper "MaxViT: Multi-Axis Vision Transformer" [arXiv 2022].
mysterious756/MIN2Net
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
mysterious756/NiceVPN
一个开放的节点库，为了自由的隐私
mysterious756/Non-Local-NN-Pytorch
PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)
mysterious756/Pose2Seg
Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
mysterious756/pymycobot
This is a python API for mycobot serial communication.
mysterious756/resume
mysterious756/SRS_WEB
SRS_WEB 版本
mysterious756/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"
mysterious756/TSF-STAN
A decoding method for motor imagery EEG with spatial filtering and deep learning