DevJake / EEG-diffusion-pytorchLinks
An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
☆45Updated 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☆56Updated last year
- Conditional EEG diffusion model☆14Updated last year
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆52Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆70Updated 2 months ago
- ☆38Updated 4 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆20Updated last year
- ☆66Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆28Updated 3 months ago
- Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.☆19Updated 2 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated 2 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆111Updated last year
- ☆38Updated 2 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆136Updated last year
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆21Updated 2 years ago
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆44Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆76Updated 3 weeks ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆60Updated 2 weeks ago
- ☆22Updated 11 months ago
- code for LMDA☆81Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated 2 months ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆159Updated 7 months ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆50Updated last month
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆47Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆49Updated last month
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆11Updated 2 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆61Updated 3 months ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- ☆21Updated 2 years ago
- SOTA methods for performing emotion classification using Transformers.☆21Updated 2 years ago
- This is a community implementation of EEG-ConvTransformer☆16Updated 2 years ago