MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding
☆37May 16, 2025Updated last year
Alternatives and similar repositories for MSVTNet
Users that are interested in MSVTNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Learning with EEG.☆27Oct 11, 2025Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆43Mar 18, 2025Updated last year
- Public EEG-based motor imagery (MI) datasets☆13Feb 1, 2024Updated 2 years ago
- ☆21Jul 13, 2023Updated 3 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆357Aug 16, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆17May 21, 2025Updated last year
- [KBS 2025] Multi-View Contrastive Network (MVCNet) for Motor Imagery Classification☆27Aug 10, 2025Updated last year
- Temporal convolutional transformer for EEG based motor imagery decoding☆47Aug 15, 2026Updated last month
- ☆18Jun 18, 2024Updated 2 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆199May 10, 2025Updated last year
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆30Jul 17, 2024Updated 2 years ago
- This is the dataset for the competition "Clinical Brain Computer Interfaces Challenge" to be held at WCCI 2020 at Glasgow. There are the …☆12Jan 20, 2022Updated 4 years ago
- Evaluating the role of EEG preprocessing for deep learning applications.☆17Mar 10, 2025Updated last year
- Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆38Oct 25, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆40Aug 20, 2023Updated 3 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆105May 30, 2025Updated last year
- [TNSRE 23] EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆764Jul 24, 2024Updated 2 years ago
- ☆41May 28, 2024Updated 2 years ago
- code for LMDA☆90Jul 14, 2023Updated 3 years ago
- ☆40Sep 5, 2025Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆144Nov 25, 2023Updated 2 years ago
- This is source code provided for replication of SSVEPNet☆45Mar 3, 2026Updated 7 months ago
- This implementation is based on the SincAlignNet model from the paper 'Frequency-Based Alignment of EEG and Audio Signals Using Contrasti…☆14Jul 28, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Improving BCIs with generative models synthesizing realistic EEG signals. Co-authored research paper: https://arxiv.org/abs/2402.09453☆11Oct 18, 2025Updated 11 months ago
- ☆17Sep 20, 2022Updated 4 years ago
- ☆13Jan 25, 2024Updated 2 years ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆17Jun 11, 2023Updated 3 years ago
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆30Mar 15, 2022Updated 4 years ago
- This is the open source code of 《DeepSyncNet:Deep Synchronized Fusion Network for EEG-fNIRS Multimodal Brain-Computer Interfaces》☆20Mar 17, 2026Updated 6 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆93Aug 3, 2024Updated 2 years ago
- Dual-Branch Convolution Network with Efficient Channel Attention for EEG-Based Motor Imagery Classification☆18Aug 19, 2024Updated 2 years ago
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆449Mar 21, 2026Updated 6 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆124Jun 23, 2025Updated last year
- ☆33Jan 27, 2024Updated 2 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆19Nov 15, 2023Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆31Aug 30, 2020Updated 6 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 4 years ago
- ☆30Jun 25, 2025Updated last year
- ☆31Dec 4, 2024Updated last year