SPOClab-ca / ThinkerInvariance
☆18Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for ThinkerInvariance
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- code for NeurIPS_competition☆27Updated 2 years ago
- Temporal information enhanced EEGNet☆13Updated last year
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆42Updated 3 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆39Updated 2 years ago
- 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
- Self-supervised learning for EEG☆23Updated 4 years ago
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆65Updated 2 years ago
- ☆35Updated 3 years ago
- ☆16Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆59Updated 4 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆16Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆40Updated last year
- ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…☆28Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆38Updated 3 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆43Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆40Updated 5 months ago
- ☆21Updated 5 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆29Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- Towards Domain Free Transformer for Generalized EEG Pre-training☆22Updated 10 months ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆21Updated 3 years ago
- CNN-Former model with EEG-ME for SSVEP classification☆11Updated 2 months ago
- ☆55Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆37Updated last year
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆14Updated 9 months ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆35Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆86Updated last year
- ☆20Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆13Updated 2 months ago