SheepTAO / MSVTNet
MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding
☆23Updated 6 months ago
Alternatives and similar repositories for MSVTNet:
Users that are interested in MSVTNet are comparing it to the libraries listed below
- code for LMDA☆76Updated last year
- DDGCNN for ssvep☆13Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆66Updated 4 years ago
- ☆16Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- ☆32Updated 9 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆38Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆64Updated last week
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆48Updated 3 years ago
- ☆28Updated 7 months ago
- ☆72Updated 4 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆53Updated 10 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆31Updated last year
- ☆30Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 3 years ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆24Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆100Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆42Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- ☆12Updated 2 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆88Updated last year
- ☆13Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆56Updated 3 months ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆17Updated 2 years ago