neerajwagh / eeg-self-supervisionLinks
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
☆22Updated 2 years ago
Alternatives and similar repositories for eeg-self-supervision
Users that are interested in eeg-self-supervision are comparing it to the libraries listed below
Sorting:
- ☆69Updated 2 years ago
- ☆38Updated 4 years ago
- ☆17Updated last year
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆36Updated last month
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆23Updated 3 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆53Updated 2 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆23Updated 3 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆59Updated 3 years ago
- Matlab code for SBLEST algorithm☆44Updated last year
- 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 4 years ago
- ☆10Updated 4 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆14Updated last year
- ☆20Updated 9 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 4 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆25Updated last year
- ☆46Updated 10 months ago
- ☆13Updated 2 years ago
- ☆26Updated last year
- Self-supervised learning for EEG☆28Updated 5 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Updated 4 years ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- seizure type classification using TUH dataset☆79Updated 3 months ago
- This is a community implementation of EEG-ConvTransformer☆17Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆44Updated 2 years ago
- ☆28Updated 6 months ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆70Updated 6 months ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 8 months ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆13Updated 6 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 months ago