hancan16 / SST-DPNLinks
A Lightweight and High Performance Neural network for MI-EEG decoding
☆36Updated 9 months ago
Alternatives and similar repositories for SST-DPN
Users that are interested in SST-DPN are comparing it to the libraries listed below
Sorting:
- code for LMDA☆86Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 7 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 months ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆11Updated 2 years ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆51Updated last year
- ☆21Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆83Updated last year
- ☆39Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 2 years ago
- ☆87Updated 4 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 8 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆64Updated 3 years ago
- ☆45Updated 2 months ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆304Updated last month
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆82Updated 3 years ago
- ☆23Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆77Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆143Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆88Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆123Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆53Updated 4 years ago
- Pytorch implementation of EEGNet.☆51Updated 3 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 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☆28Updated 2 years ago