ycq091044 / BIOT
NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
☆87Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for BIOT
- ☆35Updated 3 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆43Updated last year
- ☆55Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆105Updated 5 months ago
- A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)☆36Updated 5 months ago
- ☆31Updated 9 months ago
- ACM MM 2023☆32Updated 3 weeks ago
- ☆29Updated 7 months ago
- IEEE Transactions on Affective Computing, 2022☆24Updated 11 months ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆58Updated 7 months ago
- code for LMDA☆66Updated last year
- Corpus of resources for multimodal machine learning with physiological signals (mmps).☆36Updated this week
- ☆27Updated 5 months ago
- Deep Learning pipeline for motor-imagery classification.☆56Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆34Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆39Updated 2 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆12Updated 4 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆23Updated 10 months ago
- ☆156Updated 2 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆35Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- ☆42Updated last week
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆35Updated 9 months ago
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆24Updated last year
- Matlab code for SBLEST algorithm☆37Updated 8 months ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆40Updated last year
- ☆14Updated last year
- NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆34Updated 2 months ago