Ma-Xinzhi / EEG-TransNetLinks
☆24Updated 6 months ago
Alternatives and similar repositories for EEG-TransNet
Users that are interested in EEG-TransNet are comparing it to the libraries listed below
Sorting:
- ☆15Updated last year
- ☆12Updated last year
- ☆36Updated last year
- ☆20Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆69Updated last month
- 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☆28Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated last month
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆18Updated 2 years ago
- code for LMDA☆81Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆26Updated 3 months ago
- ☆20Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆57Updated 2 months ago
- ☆22Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆15Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Updated 2 months ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- ☆33Updated 11 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆60Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 5 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 4 years ago
- ☆16Updated 2 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆26Updated 3 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆21Updated 2 years ago