orvindemsy / EA-wLTLLinks
combining Euclidean Alignment (EA) and weighted LTL to classify MI-based EEG
☆11Updated last year
Alternatives and similar repositories for EA-wLTL
Users that are interested in EA-wLTL are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of EEGNet.☆49Updated 3 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆141Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 4 months ago
- ☆38Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆96Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- code for LMDA☆85Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 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
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- Python implemementation of the FBCSP algorithm☆33Updated last year
- ☆85Updated 4 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆48Updated 3 years ago
- ☆23Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- ☆34Updated last year
- ☆40Updated last month
- ☆30Updated 3 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆83Updated 4 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆67Updated 5 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 6 months ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆73Updated last month
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 4 months ago
- EEG motor imagery classification using convolutional neural networks☆40Updated 2 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- DDGCNN for ssvep☆15Updated last year
- ☆68Updated 6 years ago