bruAristimunha / Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models
Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.
☆43Updated 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
- Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals☆52Updated last year
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆56Updated last month
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆45Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆43Updated 4 months ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated last year
- Offical repository of the paper "EEG-DG：A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆21Updated 5 months ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆40Updated 10 months ago
- ☆12Updated 2 years ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆27Updated last year
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆11Updated last year
- Corpus of resources for multimodal machine learning with physiological signals (mmps).☆64Updated last week
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆113Updated last year
- Matlab code for SBLEST algorithm☆41Updated last year
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆33Updated 2 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆64Updated last week
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆15Updated 8 months ago
- ☆37Updated 4 years ago
- ☆16Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 9 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆28Updated 4 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆45Updated last year
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆31Updated 10 months ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆39Updated last year
- code for LMDA☆77Updated last year
- IEEE Transactions on Affective Computing, 2022☆26Updated last year
- Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.☆18Updated 2 years ago
- ☆33Updated last year
- ☆35Updated last month
- ☆11Updated last year
- ☆19Updated 4 years ago