Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 2023). Our meta-learning approach is compared to transfer learning in terms of accuracy after few-shot fine-tuning on new subjects for EEG-based motor imagery classification.
☆17Jun 11, 2023Updated 3 years ago
Alternatives and similar repositories for iclr2023-meta-learning-eeg-mi-classification
Users that are interested in iclr2023-meta-learning-eeg-mi-classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Jan 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 self-supervised EEG data transfer learning☆14Feb 9, 2022Updated 4 years ago
- EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network☆14Apr 12, 2023Updated 3 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.
- ☆13Nov 15, 2022Updated 3 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆19Jul 12, 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
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆37May 16, 2025Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆31Aug 30, 2020Updated 5 years ago
- ☆30May 2, 2023Updated 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…☆108Jun 4, 2023Updated 3 years ago
- Python package for computing partial information decomposition.☆13Mar 15, 2019Updated 7 years ago
- An EEG dichotomy program file , using CSP and SVM.☆28Jun 27, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Python implementation of the CSP algorithm☆11Mar 24, 2022Updated 4 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
- Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals☆11Oct 26, 2022Updated 3 years ago
- Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆38Oct 25, 2021Updated 4 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
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…