Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation including intentionally imbalancing a dataset, and appending modified data to the training set.
☆31Aug 30, 2020Updated 6 years ago
Alternatives and similar repositories for DeepEEGDataAugmentation
Users that are interested in DeepEEGDataAugmentation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆48Nov 25, 2024Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆50Oct 27, 2022Updated 3 years ago
- Evaluation of Neural Networks for Classifying Electroencephalography (EEG) Data☆11Mar 15, 2022Updated 4 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Nov 2, 2020Updated 5 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆77May 30, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Public EEG-based motor imagery (MI) datasets☆13Feb 1, 2024Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Jan 11, 2023Updated 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
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆17Jun 11, 2023Updated 3 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Apr 18, 2022Updated 4 years ago
- EEG motor imagery classification using convolutional neural networks☆43Mar 25, 2023Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆169Mar 26, 2020Updated 6 years ago
- Self-supervised learning for EEG☆27Sep 2, 2020Updated 5 years ago
- An EEG dichotomy program file , using CSP and SVM.☆28Jun 27, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- This is the published codes for Dilated Convolutional Neural Networks for Sequential Manifold-valued Data ICCV 2019☆10May 16, 2021Updated 5 years ago
- The model code for the TS-SEFFNet proposed in the paper "A Temporal-Spectral-based Squeeze-and-Excitation Feature Fusion Network for Moto…☆20Nov 23, 2021Updated 4 years ago
- Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs☆13Jan 5, 2022Updated 4 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆37May 16, 2025Updated last year
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆21Jun 23, 2023Updated 3 years ago
- Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆38Oct 25, 2021Updated 4 years ago
- Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.☆22Feb 21, 2023Updated 3 years ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆10Aug 5, 2019Updated 7 years ago
- Class to automatic create Convolutional Neural Network in PyTorch☆15Aug 14, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This is the code for the paper Statistical Recurrent Models on Manifold valued Data☆17May 16, 2021Updated 5 years ago
- ☆20May 19, 2020Updated 6 years ago
- ☆17Dec 16, 2024Updated last year
- 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
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆198May 10, 2025Updated last year
- Code for UAI 2019 paper "Domain Generalization via Multidomain Discriminant Analysis"☆14Aug 28, 2019Updated 7 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆15Jan 11, 2021Updated 5 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆45Sep 9, 2023Updated 2 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
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆93Aug 3, 2024Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆357Aug 16, 2026Updated 2 weeks ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Jul 7, 2021Updated 5 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆81Apr 12, 2018Updated 8 years ago
- ☆15Dec 18, 2019Updated 6 years ago
- We constructed an EEG dataset based on imagined speech and performed semantic decoding on it.☆38Dec 13, 2024Updated last year
- ☆18Sep 18, 2020Updated 5 years ago