hamzaamrani / EEG-to-Text-DecodingLinks
☆22Updated last year
Alternatives and similar repositories for EEG-to-Text-Decoding
Users that are interested in EEG-to-Text-Decoding 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.…☆160Updated last month
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆153Updated 3 weeks ago
- ☆38Updated last month
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆183Updated 10 months ago
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆44Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆44Updated 9 months ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆81Updated 2 months ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆153Updated 2 months ago
- ☆66Updated 2 years ago
- code for LMDA☆84Updated 2 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆144Updated last year
- ☆37Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆30Updated 5 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆63Updated 2 weeks ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆39Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 3 months ago
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆75Updated 3 months ago
- ☆25Updated 3 months ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆42Updated last year
- NeurIPS 2024 poster☆26Updated 8 months ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆12Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆93Updated 3 months ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆20Updated last year
- The codes that I implemented during my B.Sc. project.☆21Updated 3 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 6 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- ☆93Updated 9 months ago