guangyizhangbci / EEG_RiemannianLinks
IEEE Transactions on Emerging Topics in Computational Intelligence
☆66Updated 3 months ago
Alternatives and similar repositories for EEG_Riemannian
Users that are interested in EEG_Riemannian are comparing it to the libraries listed below
Sorting:
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆42Updated 5 years ago
- ☆12Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆33Updated 2 weeks ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 3 months ago
- ☆14Updated 4 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆133Updated last year
- code for LMDA☆83Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆112Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆63Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- ☆32Updated 2 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆99Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 3 weeks ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆39Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆109Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- ☆83Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆125Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆40Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 2 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 3 months ago