guangyizhangbci / EEG_RiemannianView external linksLinks
IEEE Transactions on Emerging Topics in Computational Intelligence
☆72Apr 15, 2025Updated 10 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:
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆12Apr 18, 2023Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆83Apr 7, 2022Updated 3 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆87Sep 24, 2020Updated 5 years ago
- Code for Cross-Task Neural Architecture Search for EEG Signals☆17Mar 7, 2023Updated 2 years ago
- ☆72Aug 30, 2023Updated 2 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆194May 10, 2025Updated 9 months ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆63Oct 12, 2022Updated 3 years ago
- ☆15Jul 7, 2021Updated 4 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆103May 30, 2025Updated 8 months ago
- ☆13Sep 5, 2023Updated 2 years ago
- GCN with MNE input and preprocessing☆10Sep 27, 2020Updated 5 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆28Mar 9, 2022Updated 3 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Sep 22, 2022Updated 3 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆330Mar 23, 2023Updated 2 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Jun 23, 2020Updated 5 years ago
- IEEE Transactions on Affective Computing, 2025☆24Jun 6, 2025Updated 8 months ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Jun 3, 2020Updated 5 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Oct 27, 2022Updated 3 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
- Public Models considered for emotion estimation from EEG☆34Sep 8, 2022Updated 3 years ago
- ☆32May 2, 2023Updated 2 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Feb 2, 2022Updated 4 years ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆13Dec 9, 2021Updated 4 years ago
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆107Oct 22, 2025Updated 3 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆82Jan 10, 2026Updated last month
- 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
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Apr 16, 2021Updated 4 years ago
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆12Sep 8, 2022Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Nov 25, 2023Updated 2 years ago
- Temporal information enhanced EEGNet☆13Feb 27, 2023Updated 2 years ago
- ☆92Sep 5, 2021Updated 4 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
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆70Sep 14, 2023Updated 2 years ago
- Class to automatic create Convolutional Neural Network in PyTorch☆15Aug 14, 2021Updated 4 years ago
- ☆30Jun 25, 2025Updated 7 months ago
- Emotion recognition base on EEG.☆19Jun 1, 2023Updated 2 years ago
- Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals☆23Jun 3, 2024Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Jun 15, 2021Updated 4 years ago
- ☆35Jul 22, 2024Updated last year