DevJake / EEG-diffusion-pytorchLinks
An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
☆46Updated 2 years ago
Alternatives and similar repositories for EEG-diffusion-pytorch
Users that are interested in EEG-diffusion-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals☆57Updated last year
- code for LMDA☆84Updated 2 years ago
- Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.☆20Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆32Updated 6 months ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆163Updated 2 months ago
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆55Updated last year
- ☆38Updated last month
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆44Updated 9 months ago
- ☆66Updated 2 years ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆168Updated last month
- Conditional EEG diffusion model☆15Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆83Updated 2 months ago
- ☆31Updated 6 months ago
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆44Updated last year
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆22Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆145Updated last year
- Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.☆39Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆79Updated 3 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆117Updated 2 years ago
- ☆38Updated 4 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆62Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆50Updated 3 months ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆27Updated 4 months ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- ☆21Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 4 months ago