rkobler / TSMNetLinks
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
☆58Updated 2 years ago
Alternatives and similar repositories for TSMNet
Users that are interested in TSMNet are comparing it to the libraries listed below
Sorting:
- ☆66Updated last year
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated 2 years ago
- Matlab code for SBLEST algorithm☆43Updated last year
- ☆22Updated 11 months ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆55Updated last month
- ☆38Updated 4 years ago
- ☆36Updated 4 months ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆63Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆70Updated 2 months ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆15Updated 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
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆13Updated 10 months ago
- code for NeurIPS_competition☆28Updated 3 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 2 years ago
- ☆16Updated 7 months ago
- ☆14Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- ☆24Updated 3 weeks ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- ☆18Updated 4 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 4 years ago
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆15Updated last month
- ☆38Updated 2 months ago
- Analysis of Transformer attention in EEG signal classification☆44Updated 10 months ago
- seizure type classification using TUH dataset☆73Updated last year
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- Deep learning model for EEG artifact removal☆74Updated 3 years ago
- Repository of EEG-Simpleconv original paper☆42Updated last year