gzoumpourlis / BEETL_NeurIPS_2021Links
Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021
☆11Updated 2 years ago
Alternatives and similar repositories for BEETL_NeurIPS_2021
Users that are interested in BEETL_NeurIPS_2021 are comparing it to the libraries listed below
Sorting:
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆24Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆16Updated last year
- ☆24Updated last month
- ☆16Updated 5 months ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆21Updated 2 years ago
- code for NeurIPS_competition☆28Updated 3 years ago
- ☆62Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆21Updated 3 years ago
- Source code for self-supervised EEG data transfer learning☆15Updated 3 years ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆13Updated 9 months ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 4 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆55Updated this week
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆29Updated 4 years ago
- Self-supervised learning for EEG☆25Updated 4 years ago
- ☆30Updated 2 months ago
- ☆9Updated 3 years ago
- ☆18Updated 4 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆56Updated 2 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- ☆12Updated 2 years ago
- ☆12Updated 2 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 11 months ago
- ☆38Updated 4 years ago
- ☆9Updated last year
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆15Updated 3 months ago