eeyhsong / EEG-Conformer
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
☆506Updated 7 months ago
Alternatives and similar repositories for EEG-Conformer:
Users that are interested in EEG-Conformer are comparing it to the libraries listed below
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆281Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆219Updated 2 months ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆297Updated 5 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆168Updated 3 months ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆214Updated 9 months ago
- Deep learning software to decode EEG, ECG or MEG signals☆876Updated this week
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆180Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆128Updated 2 months ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆217Updated last year
- [ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI☆308Updated 2 weeks ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆221Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆100Updated 5 years ago
- TorchEEG is a library built on PyTorch for EEG signal analysis.☆429Updated 2 months ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆167Updated 2 years ago
- Mother of All BCI Benchmarks☆743Updated this week
- ☆160Updated 2 years ago
- ☆128Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆156Updated 4 years ago
- A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.☆996Updated 2 years ago
- ☆75Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆65Updated 7 months ago
- Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"☆156Updated 9 months ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆272Updated 2 years ago
- This is just a simple code of how to process EEG data when I learn motor imagination, just for reference.At the same time, it also contai…☆14Updated 3 months ago
- Pytorch implementation of EEGNet.☆44Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- 基于OpenBCI（Bciduino）完成的SSVEP项目，包括刺激器、信号实时传输、以及基于FFT的脑电信号分类、蓝牙小车的脑电控制☆95Updated 9 months ago
- ☆94Updated 4 years ago
- EEG-based emotion classification using DEAP dataset☆128Updated 2 years ago
- ☆66Updated 2 years ago