torcheeg / torcheegLinks
TorchEEG is a library built on PyTorch for EEG signal analysis.
☆482Updated 6 months ago
Alternatives and similar repositories for torcheeg
Users that are interested in torcheeg are comparing it to the libraries listed below
Sorting:
- [ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI☆380Updated 2 months ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆265Updated 3 months ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆572Updated 11 months ago
- Deep learning software to decode EEG, ECG or MEG signals☆959Updated last month
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆80Updated 2 weeks ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆133Updated last year
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆200Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆120Updated last year
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆320Updated 5 years ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆156Updated 7 months ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆153Updated 6 months ago
- Mother of All BCI Benchmarks☆794Updated this week
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆302Updated 2 years ago
- ☆169Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆111Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆73Updated 10 months ago
- ☆82Updated 3 years ago
- CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification☆23Updated last year
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆179Updated last month
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆72Updated 3 years ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆249Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆141Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"☆172Updated last year
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆237Updated last year
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆114Updated 2 weeks ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆73Updated 6 months ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆224Updated last year
- ☆130Updated 2 years ago