duanyiqun / DS-DDPMLinks
Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
☆56Updated last year
Alternatives and similar repositories for DS-DDPM
Users that are interested in DS-DDPM are comparing it to the libraries listed below
Sorting:
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆51Updated last year
- Conditional EEG diffusion model☆14Updated last year
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆45Updated 2 years ago
- Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.☆18Updated 2 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆20Updated 11 months ago
- ☆27Updated 9 months ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- ☆14Updated last year
- This is a community implementation of EEG-ConvTransformer☆16Updated 2 years ago
- ☆39Updated last month
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆20Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 7 months ago
- code for LMDA☆81Updated last year
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆28Updated last year
- ☆38Updated 4 years ago
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆61Updated 4 months ago
- ☆35Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆43Updated this week
- ☆19Updated 5 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆69Updated last month
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated 2 months ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆52Updated 7 months ago
- ☆65Updated last year
- Analysis of Transformer attention in EEG signal classification☆44Updated 9 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆46Updated 2 years ago
- The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations" in PyTorch☆14Updated 7 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆29Updated 4 years ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆153Updated 6 months ago
- ☆20Updated 11 months ago