SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-Learning
☆24Sep 22, 2022Updated 3 years ago
Alternatives and similar repositories for SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning
Users that are interested in SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆45Sep 9, 2023Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Jan 11, 2023Updated 3 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆23Jul 12, 2023Updated 3 years ago
- [KBS 2025] Time-Frequency Transform Based Cross-Subject EEG Data Augmentation☆20Feb 3, 2026Updated 7 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆28Jul 23, 2021Updated 5 years ago
- ☆11Sep 21, 2024Updated last year
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆21Jun 23, 2023Updated 3 years ago
- Evaluating the role of EEG preprocessing for deep learning applications.☆17Mar 10, 2025Updated last year
- How EEG preprocessing shapes decoding performance☆17Jul 11, 2025Updated last year
- Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.☆22Feb 21, 2023Updated 3 years ago
- ☆78Aug 30, 2023Updated 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 5 years ago
- Hybrid Sequential Forward Channel Selection (HSFCS)☆10Jan 11, 2024Updated 2 years 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.
- Conditional EEG diffusion model☆17Apr 5, 2024Updated 2 years ago
- Code for Cross-Task Neural Architecture Search for EEG Signals☆17Mar 7, 2023Updated 3 years ago
- Code accompanying The Promise of Deep Learning for BCIs: Classification of Motor Imagery EEG using Convolutional Neural Network☆11Jan 4, 2022Updated 4 years ago
- Source code for self-supervised EEG data transfer learning☆14Feb 9, 2022Updated 4 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Aug 20, 2023Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Jul 29, 2023Updated 3 years ago
- ☆23Mar 25, 2025Updated last year
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆24Jun 7, 2022Updated 4 years ago
- Continual Online Recalibration with Pseudo-labels☆15Jun 20, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆50Oct 27, 2022Updated 3 years ago
- EEGNet implementation of 2 BCI competition datasets☆36Jan 17, 2019Updated 7 years ago
- Implementation of Deep SPDNet in pytorch☆74Sep 23, 2023Updated 2 years ago
- EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network☆14Apr 12, 2023Updated 3 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Nov 2, 2022Updated 3 years ago
- This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual Inter…☆107Jun 4, 2023Updated 3 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆42Jan 27, 2021Updated 5 years ago
- ☆13Nov 15, 2022Updated 3 years ago
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆22Mar 2, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Towards Domain Free Transformer for Generalized EEG Pre-training☆31Apr 22, 2025Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆21Dec 18, 2022Updated 3 years ago
- Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning☆29May 27, 2024Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆37May 16, 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
- Class to filter EEG artifacts using WPT, ICA and EMD☆10Oct 27, 2021Updated 4 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆169Mar 26, 2020Updated 6 years ago