bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEGView on GitHub
☆21Jun 22, 2022Updated 4 years ago
Alternatives and similar repositories for Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG
Users that are interested in Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Semi-supervised Multi-view Variational Autoencoder (semiMVAE)☆11Sep 28, 2017Updated 8 years ago
- SEEG Project☆16Dec 14, 2020Updated 5 years ago
- A toolbox for EEG signals processing. Welcome to join and build!☆13Nov 9, 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 5 years ago
- Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.☆11Mar 25, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Nov 2, 2020Updated 5 years ago
- Classification of Fatigue in Consumer-grade EEG Using Entropies as Features☆17Sep 13, 2020Updated 5 years ago
- Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)☆45Sep 15, 2019Updated 6 years ago
- Class to automatic create Convolutional Neural Network in PyTorch☆15Aug 14, 2021Updated 5 years 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
- mEBAL is a multimodal database for eye blink detection and attention level estimation.☆32May 13, 2025Updated last year
- Epileptic seizure classification using a deep neural network (LSTM)☆11Apr 22, 2023Updated 3 years ago
- Automated Accurate Emotion Recognition using Rhythm-Specific Deep Convolutional Neural Network Technique with Multi-Channel EEG Signals☆11Jan 3, 2022Updated 4 years ago
- ☆10Dec 5, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆48Oct 25, 2019Updated 6 years ago
- Bacheor Thesis Code for epileptic seizure detection. Used the CHB-MIT dataset.☆11Jul 18, 2019Updated 7 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…☆71Apr 23, 2023Updated 3 years ago
- Developmental team, Neuroimaging Cognitive Unit, Neurospin Center, Paris☆15Feb 18, 2025Updated last year
- Notes on methods using EEG for seizure prediction☆11Dec 16, 2019Updated 6 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Apr 18, 2022Updated 4 years ago
- [TNSRE 23] Global Adaptive Transformer for Cross-Subject EEG Classification.☆33Jan 11, 2024Updated 2 years ago
- ☆21Jul 13, 2023Updated 3 years ago
- ☆10Apr 4, 2018Updated 8 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.
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆39Sep 29, 2019Updated 6 years ago
- Electroencephalogram(EEG) benchmark dataset Chb-mit is used for seizure detection. The CHB-MIT dataset is a publicly available database …☆16Apr 23, 2022Updated 4 years ago
- ☆12Jun 24, 2019Updated 7 years ago
- Epileptic Seizure Recognition System, In this project wavelet transform and Hurst exponent are used as an input of SVM, LSTM , Random For…☆13Jun 21, 2020Updated 6 years ago
- Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models☆13Dec 10, 2023Updated 2 years ago
- ResNet_LSTM_GCN☆14Feb 12, 2023Updated 3 years ago
- Deep learning model for EEG artifact removal☆88Jun 16, 2022Updated 4 years ago
- Various tools for EEG/MEG data analysis.☆11Updated this week
- Attention-based LSTM, CNN and CNN+LSTM model for running fatigue detection with IMU Python3.7.9 TensorFlow2.0 Anaconda with Jupyter Panda…☆14Jun 17, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Emotion recognition from EEG and physiological signals using deep neural networks☆50May 24, 2018Updated 8 years ago
- Based on EEG signal, the differential entropy feature is extracted, and the convolution neural network based on time domain network and a…☆13Sep 21, 2022Updated 3 years ago
- Heatmap of multiclass confusion matrix☆11Sep 11, 2019Updated 6 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆184Oct 8, 2022Updated 3 years ago
- Utlizied brain's structural & functional connectivity to classify subjects using Graph Convolution Networks.☆12Dec 25, 2020Updated 5 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆159Feb 12, 2020Updated 6 years ago
- Epileptic Seizure Detection on EEG Data based on CHB-MIT database.☆23Mar 14, 2024Updated 2 years ago