torcheeg / torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
☆360Updated 2 months ago
Related projects: ⓘ
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆397Updated last month
- Attention temporal convolutional network for EEG-based motor imagery classification☆174Updated 2 months ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆246Updated last year
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆147Updated last year
- ☆150Updated last year
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆279Updated 5 years ago
- Deep learning software to decode EEG, ECG or MEG signals☆775Updated 2 months ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆179Updated 11 months ago
- ☆126Updated last year
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆158Updated last year
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆196Updated 4 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆85Updated 11 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆112Updated 9 months ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆265Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆99Updated 5 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆169Updated 3 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆150Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆82Updated 3 months ago
- ICLR 2024 spotlight☆200Updated 3 months ago
- ☆72Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆54Updated 2 years ago
- Mother of All BCI Benchmarks☆673Updated this week
- code for LMDA☆58Updated last year
- Including some machine learning and artificial intellegent examples☆86Updated last year
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆110Updated 3 years ago
- ☆39Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆67Updated 6 years ago
- A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.☆919Updated last year
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆31Updated 2 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆80Updated last year