DevJake / EEG-diffusion-pytorch
An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
☆43Updated last year
Alternatives and similar repositories for EEG-diffusion-pytorch:
Users that are interested in EEG-diffusion-pytorch are comparing it to the libraries listed below
- Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals☆51Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆41Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆61Updated 2 months ago
- code for LMDA☆71Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆123Updated 2 months ago
- This is a community implementation of EEG-ConvTransformer☆18Updated last year
- ☆36Updated 4 years ago
- ☆12Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆20Updated 5 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- ☆32Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 8 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆63Updated 6 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆40Updated 2 months ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆46Updated last year
- ☆69Updated 3 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆101Updated last year
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆98Updated last year
- ☆57Updated last year
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆36Updated 11 months ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆17Updated 3 months ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆25Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆25Updated last year
- ☆16Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆38Updated 9 months ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆73Updated 3 months ago