ycq091044 / BIOT
NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
☆81Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for BIOT
- ☆35Updated 3 years ago
- A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)☆34Updated 5 months ago
- ☆54Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆43Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆97Updated 5 months ago
- ☆29Updated 6 months ago
- ☆29Updated 9 months ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆33Updated 2 months ago
- Corpus of resources for multimodal machine learning with physiological signals (mmps).☆35Updated last week
- Deep Learning pipeline for motor-imagery classification.☆56Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆59Updated 6 months ago
- ☆36Updated 2 months ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆41Updated 3 weeks ago
- code for LMDA☆64Updated last year
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆34Updated last year
- ☆27Updated 5 months ago
- ☆152Updated 2 years ago
- ACM MM 2023☆28Updated last week
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆31Updated 2 years ago
- Matlab code for SBLEST algorithm☆37Updated 8 months ago
- IEEE Transactions on Affective Computing, 2022☆24Updated 11 months ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆68Updated 2 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆12Updated 3 months ago
- ICLR 2024 spotlight☆232Updated 5 months ago
- ☆57Updated this week
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆12Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- Analysis of Transformer attention in EEG signal classification☆41Updated 2 months ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆27Updated 5 months ago