iis-eth-zurich / eeg-tcnetLinks
☆86Updated 4 years ago
Alternatives and similar repositories for eeg-tcnet
Users that are interested in eeg-tcnet are comparing it to the libraries listed below
Sorting:
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆142Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆98Updated 2 years ago
- code for LMDA☆85Updated 2 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 7 months ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆90Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆79Updated last month
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆295Updated last week
- Deep Learning pipeline for motor-imagery classification.☆62Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆143Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated 2 years ago
- Pytorch implementation of EEGNet.☆49Updated 3 years ago
- ☆21Updated 2 years ago
- ☆38Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆87Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆81Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 5 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆30Updated 6 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆49Updated last year
- ☆23Updated 2 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆70Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆137Updated 4 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆82Updated 3 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆83Updated 5 years ago