DL4mHealth / LEAD
The World's First Foundational Model for EEG-based Alzheimer's Disease Detection
☆26Updated 2 months ago
Alternatives and similar repositories for LEAD:
Users that are interested in LEAD are comparing it to the libraries listed below
- An open source tool for large-scale EEG datasets processing☆37Updated last month
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆14Updated 2 years ago
- CAUEEG: Chung-Ang University Hospital EEG dataset for automatic EEG diagnosis research☆18Updated 2 years ago
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆60Updated 2 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆118Updated last year
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆17Updated 9 months ago
- ☆21Updated 9 months ago
- Corpus of resources for multimodal machine learning with physiological signals (mmps).☆73Updated 3 weeks ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated this week
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆53Updated 2 months ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆47Updated last year
- ☆37Updated 4 years ago
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆46Updated last week
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆44Updated 2 years ago
- ☆10Updated last month
- NeurIPS 2024 poster☆24Updated 3 months ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆45Updated 2 years ago
- ☆16Updated last month
- MATLAB code to decode the spatial focus of auditory attention from EEG using common spatial pattern filters and Riemannian geometry-based…☆24Updated 2 years ago
- Deep Learning with EEG.☆16Updated 5 months ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆22Updated last month
- ☆59Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆37Updated last year
- Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals☆22Updated 10 months ago
- This is a community implementation of EEG-ConvTransformer☆17Updated last year
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆45Updated last year
- ☆35Updated last year
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆14Updated 2 months ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆12Updated 7 months ago
- ☆14Updated 2 years ago