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The Top 17 Jupyter Notebook Deep Learning Eeg Open Source Projects

Open source projects categorized as Jupyter Notebook Deep Learning Eeg
Categories > Machine Learning > Deep Learning
Categories > Science > Eeg
Categories > Data Processing > Jupyter Notebook
Deepeeg ⭐ 180
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
most recent commit 2 years ago
Eeg Classification ⭐ 91
This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
most recent commit 7 years ago
Deep Learning For Bci ⭐ 78
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
most recent commit a year ago
Eegdenoisenet ⭐ 39
EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.
most recent commit 2 years ago
Dl Eeg Playground ⭐ 30
Deep Learning EEG Playground
most recent commit 5 years ago
Motor Imagery Tasks Classification Using Eeg Data ⭐ 29
Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data
most recent commit 6 years ago
Deep_learning_fmri_eeg ⭐ 18
Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing
most recent commit 9 months ago
Multi Task Cnn Eeg Emotion ⭐ 17
Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.
most recent commit a year ago
Electroencephalography Eeg Signal Classification Using Deep Learning ⭐ 13
A deep learning project to classify brainwave signals.
most recent commit 5 years ago
Epileptic Seizure Detection ⭐ 12
Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients
most recent commit 3 years ago
Bci P300 ⭐ 10
BCI project using Deep Learning to decode EEG signals.
most recent commit 4 years ago
Re Deep Convolution Neural Network And Autoencoders Based Unsupervised Feature Learning Of Eeg ⭐ 9
most recent commit 2 years ago
Nddm ⭐ 8
Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance (response time and accuracy) to understand cognition.
most recent commit 10 months ago
Brain Computer Interface Cybathlon2020 ⭐ 7
Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race
most recent commit 2 years ago
Eeg_signalsclassification ⭐ 7
Preprocessing, analysis and classification of EEG signals into 4 classes.
most recent commit a year ago
Selfeeg ⭐ 7
selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
most recent commit 3 months ago
Biomedical Imaging ⭐ 5
Many-in-one repo: The "MNIST" of Brain Digits - Thought classification, Motor movement classification, 3D cancer detection, and Covid detection
most recent commit 3 years ago
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