vpeterson / otda-mibciLinks
Python codes for applying OTDA in MI-BCI
☆11Updated last year
Alternatives and similar repositories for otda-mibci
Users that are interested in otda-mibci are comparing it to the libraries listed below
Sorting:
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- ☆70Updated 2 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆22Updated 4 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆15Updated last year
- ☆48Updated 3 months ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆13Updated 4 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆61Updated 3 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated last week
- Matlab code for SBLEST algorithm☆44Updated last year
- This repository is the official implementation of “Transfer learning for brain-computer interfaces: A Euclidean space data alignment appr…☆25Updated 4 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 9 months ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆47Updated 4 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆29Updated 9 months 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 4 years ago
- Code for ASFA ("Privacy-Preserving Domain Adaptation for Motor Imagery-based Brain-Computer Interfaces")☆16Updated 2 years ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆24Updated 4 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆25Updated last year
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆17Updated 2 years ago
- ☆13Updated 2 years ago
- This is a community implementation of EEG-ConvTransformer☆17Updated 2 years ago
- Repository of EEG-Simpleconv original paper☆45Updated 5 months ago
- ☆19Updated 2 years ago
- PyTorch implementation of EEGDfus☆20Updated 3 months ago
- Offical repository of the paper "EEG-DG：A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆28Updated 8 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 is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆23Updated 2 years ago
- ☆13Updated last year
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago