ming12347's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
CompVis/stable-diffusion
A latent text-to-image diffusion model
LC044/WeChatMsg
提取微信聊天记录,将其导出成HTML、Word、Excel文档永久保存,对聊天记录进行分析生成年度聊天报告,用聊天数据训练专属于个人的AI聊天助手
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
BangguWu/ECANet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
dropreg/R-Drop
Visual-Attention-Network/VAN-Classification
kaijieshi7/Dynamic-convolution-Pytorch
Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)
ZhugeKongan/Attention-mechanism-implementation
Self-attention、Non-local、SE、SK、CBAM、DANet
eeyhsong/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.
xmindflow/deformableLKA
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
ufvceiec/EEGRAPH
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
ravikiran-mane/FBCNet
FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface
xianlin7/ConvFormer
dalinzhangzdl/BCI_MI_Wavelet_CNN
Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network
iis-eth-zurich/eeg-tcnet
niecongchong/DANet-keras
keras-Dual Attention Network for Scene Segmentation
esantamariavazquez/EEG-Inception
Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing
yeild/WeChatAppletDemo
微信小程序demo
AbbasSalami/EEG-ITNet
Ma-Xinzhi/LightConvNet
matt-houk/MB3DCNN
Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by Xinqiao Zhao , Hongmiao Zhang , Member, IEEE, Guilin Zhu, Fengxiang You, Shaolong Kuang, Member, IEEE, and Lining Sun
aojeda/headModel
The headModel toolbox for MATLAB/EEGLAB encapsulates in a single interface (the headModel class) common routines to allow out-of-the-box solutions to EEG forward and inverse problems.
tju-sun-lab/EEG-ARNN
Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for Motor Imagery Brain-computer Interfaces." IEEE Transactions on Industrial Informatics (2022).
YeongHyeon/SKNet-TF2
TensorFlow implementation of "Selective Kernel Networks"
MiaoZhengQing/TSFF
LiangXiaohan506/EISATC-Fusion
musicalka/tfcsp
A novel approach called time-frequency common spatial patterns (TFCSP) which enhances the robustness and accuracy of the electroencephalogram (EEG) signal classification.
realblack0/ms_amf