A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, visualization of results (loss, acc, obfuscation, PR, RE)
☆27Apr 18, 2024Updated 2 years ago
Alternatives and similar repositories for CNN-training-testing-templates-for-processing-EEG-signals
Users that are interested in CNN-training-testing-templates-for-processing-EEG-signals are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆56Apr 16, 2021Updated 5 years ago
- This is just a simple code of how to process EEG data when I learn motor imagination, just for reference.At the same time, it also contai…☆21Nov 13, 2024Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Oct 28, 2020Updated 5 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆20Feb 14, 2024Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆90Aug 3, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆79Oct 20, 2022Updated 3 years ago
- Public EEG Dataset☆15May 31, 2021Updated 4 years ago
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆26May 30, 2023Updated 2 years ago
- code for LMDA☆88Jul 14, 2023Updated 2 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
- ☆23Aug 10, 2023Updated 2 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
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Aug 16, 2022Updated 3 years ago
- [ICLR 2025] BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications☆38Jul 19, 2025Updated 8 months 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 trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG c…☆29Jun 18, 2024Updated last year
- ☆31Apr 13, 2023Updated 3 years ago
- ☆35Sep 5, 2025Updated 7 months ago
- A comprehensive list of pain intensity classification papers mainly based on deep learning algorithms☆12Oct 20, 2024Updated last year
- Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning☆26May 27, 2024Updated last year
- [WWW 2024] Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems☆11Apr 18, 2024Updated 2 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
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Oct 25, 2022Updated 3 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆16Jan 11, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆19Mar 12, 2025Updated last year
- the experiment on EEG classify using CNN-LSTM structure network☆12Jan 14, 2017Updated 9 years ago
- [IEEE Access] A Novel Negative-sample-free Contrastive Self-Supervised Learning for EEG-Based Motor Imagery Classification☆11Feb 16, 2025Updated last year
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆72Sep 14, 2023Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆42Aug 20, 2023Updated 2 years ago
- "SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data," publish…☆10May 13, 2022Updated 3 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆335Nov 29, 2025Updated 4 months ago
- A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification☆19Nov 5, 2024Updated last year
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆114Oct 14, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆18May 28, 2022Updated 3 years ago
- DDGCNN for ssvep☆15Dec 6, 2023Updated 2 years ago
- [KDD 2024] ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education System☆16Dec 9, 2024Updated last year
- Biometic Systems project, based on "EEG-based user identification system using 1D-convolutional long short-term memory neural networks"☆11Nov 23, 2021Updated 4 years ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆10Apr 30, 2023Updated 2 years ago
- ☆17May 21, 2025Updated 10 months ago
- 1D-convolutional LSTM based User Identification using EEG biometrics☆12Dec 3, 2019Updated 6 years ago