wzwvv / EEGAugLinks
[NN 2024] Channel Reflection: Knowledge-Driven Data Augmentation for EEG-based Brain–Computer Interfaces
☆22Updated last year
Alternatives and similar repositories for EEGAug
Users that are interested in EEGAug are comparing it to the libraries listed below
Sorting:
- code for LMDA☆84Updated 2 years ago
- ☆37Updated last year
- ☆38Updated last week
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆40Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- ☆28Updated 2 years ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆167Updated 2 months ago
- [Preparing] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding☆26Updated 2 weeks ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 5 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 4 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆281Updated last week
- ☆17Updated 2 years ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆182Updated last month
- ☆96Updated 10 months ago
- This repo is created to provide some state-of-the-art (SOTA) deep learning-based classifier for SSVEP decoding.☆42Updated 7 months ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆43Updated last year
- DDGCNN for ssvep☆15Updated last year
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆52Updated last week
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆88Updated 3 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆119Updated 2 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆45Updated last year
- Deep Learning with EEG.☆21Updated 10 months ago
- Pytorch implementation of EEGNet.☆49Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆77Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆130Updated 2 years ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆71Updated 3 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆47Updated 2 years ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆23Updated last year