Ke cheng Shi's repositories
BCI-improve-plan
用于对脑电信号进行自我提升的项目
moabb
Mother of All BCI Benchmarks
DL_EEG
Deep learning and data analysis on EEG.
braindecode
Deep learning software to decode EEG, ECG or MEG signals
torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
DGCNN
Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch
EEG-motor-imagery
ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification and Demystification
Physiological-Signal-Classification-Papers
A list of papers for physiological signal classification using machine learning/deep learning.
FB-GCNN
EEG emotion classification based on Graph CNN and fine-gained algorithm.
machine-learning-course-projects
Including some machine learning and artificial intellegent examples
GCN_for_EEG
Graph Convolutional Networks for 4-class EEG Classification
pygcn
Graph Convolutional Networks in PyTorch
Dense-CoAttention-Network
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
FastGCN-matlab
FastGCN in Matlab and companion codes for analysis of SGD with biased but consistent gradient estimators