Altaheri / LLMs-in-EEG-DecodingLinks
☆36Updated 5 months ago
Alternatives and similar repositories for LLMs-in-EEG-Decoding
Users that are interested in LLMs-in-EEG-Decoding are comparing it to the libraries listed below
Sorting:
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- ☆66Updated 2 years ago
- ☆17Updated 2 years ago
- ☆23Updated last year
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆16Updated 3 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆151Updated last year
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆28Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆52Updated last week
- An open source tool for large-scale EEG datasets processing☆49Updated 3 weeks ago
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆74Updated 8 months ago
- ☆38Updated last week
- ☆12Updated last year
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆47Updated 2 years ago
- ☆33Updated last year
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 6 years 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
- Pre-trained Transformer on Brain Signals☆32Updated 4 months ago
- ☆42Updated 7 months ago
- Self-supervised learning for EEG☆26Updated 5 years ago
- ☆38Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 5 months ago
- ☆13Updated 2 years ago
- ☆67Updated last year
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆13Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆40Updated 2 years ago
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆57Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- [NN 2024] Channel Reflection: Knowledge-Driven Data Augmentation for EEG-based Brain–Computer Interfaces☆22Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 3 years ago
- ☆37Updated 10 months ago