Mrswolf / braindaLinks
A Library of Datasets and Algorithms for Brain-Computer Interface
☆33Updated 3 years ago
Alternatives and similar repositories for brainda
Users that are interested in brainda are comparing it to the libraries listed below
Sorting:
- BCI datasets and algorithms☆69Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆65Updated 5 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆63Updated last year
- implementation of FBCSP algorithm☆26Updated 6 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated last month
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- ☆34Updated 5 years ago
- Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'☆76Updated last year
- code for LMDA☆82Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 3 months 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 …☆69Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆133Updated last year
- Python implemementation of the FBCSP algorithm☆32Updated last year
- ☆29Updated 3 years ago
- ☆36Updated 7 years ago
- ☆26Updated last month
- ☆130Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- Matlab codes for the Online SSVEP-based BCI using Riemannian Geometry algorithm☆51Updated 7 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆203Updated 2 years ago
- ☆44Updated 6 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆39Updated last year
- This BrainOn project, which was developed in python with multi-threading concurrency programming, is aimed to create an online brain-comp…☆34Updated 2 years ago
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆25Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆36Updated 2 years ago
- Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed b…☆134Updated last year
- A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO☆7Updated 2 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆73Updated last year