DanielLongo / eegML
EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.
☆14Updated 4 years ago
Alternatives and similar repositories for eegML:
Users that are interested in eegML are comparing it to the libraries listed below
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆38Updated 3 years 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
- Python implemementation of the FBCSP algorithm☆32Updated 8 months ago
- ☆20Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- SEEG Project☆15Updated 4 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 8 months ago
- Feature extraction for EEG signals☆28Updated 5 years ago
- EEG Signal Processing - Entropy☆17Updated 4 years ago
- ☆43Updated 5 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆36Updated last year
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- ☆22Updated 5 years ago
- implementation of FBCSP algorithm☆25Updated 5 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆24Updated 2 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- ☆27Updated 7 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆21Updated 5 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆12Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- Classification of EEG signals into silence vs listening☆20Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆41Updated last year
- ☆28Updated 7 months ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 3 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…☆69Updated last year
- ☆35Updated 6 years ago