In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.
☆22Jun 7, 2021Updated 4 years ago
Alternatives and similar repositories for AugmentBrain
Users that are interested in AugmentBrain are comparing it to the libraries listed below
Sorting:
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Nov 25, 2024Updated last year
- ☆17Dec 16, 2024Updated last year
- EEG motor imagery classification using convolutional neural networks☆43Mar 25, 2023Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Oct 27, 2022Updated 3 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆103May 30, 2025Updated 9 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆42Aug 20, 2023Updated 2 years ago
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆12Sep 8, 2022Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Mar 26, 2020Updated 5 years ago
- Class to automatic create Convolutional Neural Network in PyTorch☆15Aug 14, 2021Updated 4 years ago
- Code for Cross-Task Neural Architecture Search for EEG Signals☆17Mar 7, 2023Updated 2 years ago
- ☆35Jul 22, 2024Updated last year
- End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python☆24Jun 28, 2022Updated 3 years ago
- Official implementation of "A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data"☆21Nov 7, 2022Updated 3 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Aug 30, 2020Updated 5 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Sep 22, 2022Updated 3 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆22Dec 18, 2022Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 4 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆24Jun 7, 2022Updated 3 years ago
- Code accompanying The Promise of Deep Learning for BCIs: Classification of Motor Imagery EEG using Convolutional Neural Network☆11Jan 4, 2022Updated 4 years ago
- ☆29Dec 4, 2024Updated last year
- Graph Convolutional Networks for 4-class EEG Classification☆87Sep 24, 2020Updated 5 years ago
- GCN with MNE input and preprocessing☆10Sep 27, 2020Updated 5 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆42Apr 30, 2023Updated 2 years ago
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆12Apr 18, 2023Updated 2 years ago
- Python implementation of the CSP algorithm☆11Mar 24, 2022Updated 3 years ago
- ☆22Oct 29, 2019Updated 6 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆320Nov 29, 2025Updated 3 months ago
- Self-supervised learning for EEG☆28Sep 2, 2020Updated 5 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆13Aug 27, 2019Updated 6 years ago
- Public EEG-based motor imagery (MI) datasets☆12Feb 1, 2024Updated 2 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆15Sep 8, 2024Updated last year
- Collection of materials and links to talks given, tools presented, software demos etc.☆13Jun 8, 2023Updated 2 years ago
- ☆11Nov 27, 2022Updated 3 years ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆11Apr 30, 2023Updated 2 years ago
- ☆70Dec 10, 2018Updated 7 years ago
- ☆92Sep 5, 2021Updated 4 years ago
- code for LMDA☆88Jul 14, 2023Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Nov 13, 2023Updated 2 years ago
- ☆14Sep 3, 2020Updated 5 years ago