FENRlR / EEGformerLinks
Unofficial implementation of EEGformer in pytorch
☆21Updated last year
Alternatives and similar repositories for EEGformer
Users that are interested in EEGformer are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆176Updated 4 months ago
- [NN 2024] Channel Reflection: Knowledge-Driven Data Augmentation for EEG-based Brain–Computer Interfaces☆24Updated last year
- ☆38Updated last year
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆224Updated last year
- [IEEE JBHI 2025] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding☆29Updated 3 weeks ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆56Updated last month
- code for LMDA☆85Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆83Updated 3 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆36Updated 8 months ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆94Updated 4 months ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆45Updated last year
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆203Updated 3 months ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆289Updated last month
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- EEG-based emotion classification using DEAP dataset☆154Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆37Updated 3 months ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆188Updated 6 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆74Updated 2 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆79Updated 2 months ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆24Updated last year
- ☆40Updated last month
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆76Updated last month
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆17Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆96Updated 2 years ago
- ☆98Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆48Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆19Updated 11 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆137Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆28Updated 6 months ago