bruAristimunha / Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-ModelsLinks
Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.
☆57Updated last year
Alternatives and similar repositories for Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models
Users that are interested in Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models are comparing it to the libraries listed below
Sorting:
- Conditional EEG diffusion model☆15Updated last year
- Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals☆57Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆60Updated 4 months ago
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆73Updated 7 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆150Updated last year
- Offical repository of the paper "EEG-DG：A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆25Updated 5 months ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆28Updated last year
- Towards Domain Free Transformer for Generalized EEG Pre-training☆27Updated 5 months ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆46Updated 2 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆52Updated last week
- 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
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- ☆23Updated last year
- ☆13Updated last year
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆45Updated 2 years ago
- code for LMDA☆84Updated 2 years ago
- ☆17Updated 2 years ago
- ☆38Updated 4 years ago
- ☆37Updated 10 months ago
- Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991☆70Updated last year
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆64Updated 7 months ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆58Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆88Updated 3 months ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆16Updated 3 years ago
- ☆38Updated last week
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 5 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆119Updated 2 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆183Updated 4 months ago
- ☆23Updated 2 years ago