MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification
☆22Apr 18, 2022Updated 4 years ago
Alternatives and similar repositories for ECML-PKDD_MMCNN
Users that are interested in ECML-PKDD_MMCNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆34Jul 22, 2024Updated last year
- EEG motor imagery classification using convolutional neural networks☆43Mar 25, 2023Updated 3 years ago
- ☆29Dec 4, 2024Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆84Feb 22, 2021Updated 5 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Oct 28, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆12Sep 8, 2022Updated 3 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆37Apr 22, 2025Updated 11 months ago
- ☆10Feb 25, 2020Updated 6 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 4 years ago
- Perform EEG Channel selection with Gumbel-softmax☆14Jan 5, 2021Updated 5 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆23Jul 12, 2023Updated 2 years ago
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆26May 30, 2023Updated 2 years ago
- Offical repository of the paper "EEG-DG:A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆31Apr 30, 2025Updated 11 months ago
- Source code for self-supervised EEG data transfer learning☆15Feb 9, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- It's a tensorflow implemention for EEGNet☆17Jun 29, 2018Updated 7 years ago
- A list of experts in the field of the brain-computer interface and biological signal processing in China☆43Jun 6, 2021Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆66Jan 9, 2022Updated 4 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆16Jan 11, 2021Updated 5 years ago
- Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.☆12Mar 25, 2023Updated 3 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Jun 23, 2020Updated 5 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆335Nov 29, 2025Updated 4 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Aug 30, 2020Updated 5 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Mar 30, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Nov 2, 2020Updated 5 years ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆86Apr 1, 2025Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆86Jan 10, 2026Updated 3 months ago
- ☆17Dec 16, 2024Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆42Aug 20, 2023Updated 2 years ago
- In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG…☆17Mar 15, 2022Updated 4 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Aug 16, 2022Updated 3 years ago
- ☆35Sep 5, 2025Updated 7 months ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆20Nov 15, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆23Aug 10, 2023Updated 2 years ago
- EEG Motor Imagery with Deep Learning☆14Feb 25, 2022Updated 4 years ago
- Partial conditional mutual information from mixed embedding for coupling estimation in multivariate time series. We also use transfer ent…☆13Jun 9, 2020Updated 5 years ago
- Class to automatic create Convolutional Neural Network in PyTorch☆15Aug 14, 2021Updated 4 years ago
- Python implemementation of the FBCSP algorithm☆35Jun 4, 2024Updated last year
- ☆15Nov 9, 2023Updated 2 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Jun 7, 2021Updated 4 years ago