torcheeg / torcheegLinks
TorchEEG is a library built on PyTorch for EEG signal analysis.
☆536Updated 2 months ago
Alternatives and similar repositories for torcheeg
Users that are interested in torcheeg are comparing it to the libraries listed below
Sorting:
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆678Updated last year
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆355Updated 6 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆305Updated last month
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆331Updated 2 years ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆256Updated last year
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆226Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆144Updated 2 years ago
- [ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI☆518Updated 3 months ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆152Updated last month
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆188Updated 5 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆185Updated 3 years ago
- Deep learning software to decode EEG, ECG or MEG signals☆1,126Updated last week
- ☆88Updated 4 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆194Updated 8 months ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆153Updated 5 months ago
- code for LMDA☆87Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆84Updated last year
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆46Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆64Updated 4 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 3 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆237Updated last year
- EEG-based emotion classification using DEAP dataset☆155Updated 2 years ago
- Pytorch implementation of EEGNet.☆51Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆93Updated 8 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆90Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆77Updated 2 years ago
- ☆133Updated 3 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆51Updated last year