DanielLongo / eegMLLinks
EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.
☆14Updated 5 years ago
Alternatives and similar repositories for eegML
Users that are interested in eegML are comparing it to the libraries listed below
Sorting:
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆29Updated 4 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☆37Updated 3 years ago
- SEEG Project☆16Updated 4 years ago
- ☆20Updated 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
- 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
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 11 months ago
- Python implemementation of the FBCSP algorithm☆32Updated last year
- ☆22Updated 2 years ago
- ☆27Updated 7 years ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆21Updated 2 years ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- code for NeurIPS_competition☆28Updated 3 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆22Updated 4 years ago
- EEG Signal Processing - Entropy☆18Updated 5 years ago
- Implementation of EEG signal classification.☆50Updated 8 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- ☆43Updated 6 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 5 years ago
- ☆9Updated 2 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆42Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 3 years ago
- implementation of FBCSP algorithm☆26Updated 6 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 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
- Feature extraction for EEG signals☆28Updated 5 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆46Updated 4 years ago