Dingkun0817 / UMMANLinks
UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora
☆12Updated 7 months ago
Alternatives and similar repositories for UMMAN
Users that are interested in UMMAN are comparing it to the libraries listed below
Sorting:
- This repository contains the original Python code for "Spatial Distillation-based Distribution Alignment (SDDA) for Cross-Headset EEG Cla…☆22Updated last week
- [ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI☆480Updated 2 months ago
- 使用的pytorch编写的eegnet代码，方便现在进行调试☆27Updated 2 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆655Updated last year
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆125Updated 2 weeks ago
- EEG-MI signal classification DL model.☆13Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆290Updated 2 months ago
- Diffusion-Based ECG Noise Quantification via Anomaly Detection☆21Updated 2 months ago
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆12Updated 7 months ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆230Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆141Updated 2 years ago
- IEEE Transactions on Affective Computing, 2025☆22Updated 5 months ago
- 运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆27Updated 2 years ago
- ☆12Updated last year
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆318Updated 2 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆80Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆178Updated 4 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆74Updated 2 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆21Updated 11 months ago
- Uncertainty-aware Blur Prior on CVPR 2025☆61Updated this week
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆26Updated last year
- ☆29Updated 2 years ago
- ☆40Updated last month
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆78Updated 4 months ago
- Research Internship☆11Updated last year
- A Novel Decoding Approach for Hybrid EEG-fNIRS BCI.☆28Updated 8 months ago
- TorchEEG is a library built on PyTorch for EEG signal analysis.☆522Updated 2 weeks ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆325Updated 2 years ago
- [IEEE JBHI 2025] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding☆31Updated last month
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆210Updated 2 weeks ago