Alternatives and similar repositories for seizure-detection-ACS

Users that are interested in seizure-detection-ACS are comparing it to the libraries listed below

• NeuroSyd / seizure-prediction-CNN
  ☆46Updated last year
• pquochuy / MultitaskSleepNet
  Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
  ☆44Updated last year
• Sharad24 / Epileptic-Seizure-Detection
  Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients
  ☆63Updated 4 years ago
• pquochuy / SeqSleepNet
  SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
  ☆106Updated last year
• drasros / sleep_staging_shhs
  Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"
  ☆62Updated 8 years ago
• GuanLab / DeepSleep
  ☆44Updated 3 years ago
• WoongheeLee / DeepSleepNet_Implementation_in_Keras
  ☆14Updated 2 years ago
• garethjns / Kaggle-EEG
  Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.
  ☆108Updated 5 years ago
• Dreem-Organization / dreem-learning-evaluation
  Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"
  ☆34Updated 4 years ago
• SuperBruceJia / EEG-BayesianCNN
  This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
  ☆31Updated 5 years ago
• MathieuLaksh / eeg_epilepsy_conv1d
  ☆11Updated 6 years ago
• IoBT-VISTEC / MetaSleepLearner
  Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…
  ☆42Updated 4 years ago
• DanielLongo / eegML
  EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.
  ☆14Updated 5 years ago
• monshri / depression_identification
  A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks
  ☆26Updated 5 years ago
• kedarps / DeepSleepNet
  Implementation of DeepSleepNet for classifying EEG signals into one of six sleep stages based on Supratak et. al 2017
  ☆12Updated 6 years ago
• SMorettini / CNNs-on-CHB-MIT
  The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
  ☆121Updated 2 years ago
• Dreem-Organization / RobustSleepNet
  Transfer learning for sleep stage detection
  ☆34Updated 4 years ago
• gemeinl / auto-eeg-diagnosis-comparison
  ☆22Updated 2 years ago
• vancleys / EEGFeatures
  EEG Features to be extract from raw data.
  ☆27Updated 8 years ago
• nicolasigor / cmorlet-tensorflow
  A TensorFlow implementation of the Continous Wavelet Transform based on the complex Morlet wavelet.
  ☆27Updated 4 years ago
• tiehangd / MUPS-EEG
  Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
  ☆43Updated 2 years ago
• MAMEM / eeg-processing-toolbox
  Matlab code for proccesing EEG signals.
  ☆81Updated 7 years ago
• zabir-nabil / eeg-rsenet
  Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
  ☆41Updated 2 years ago
• NeuroSyd / seizure-prediction-GAN
  Epileptic Seizure Forecasting with Generative Adversarial Networks
  ☆27Updated last year
• robintibor / auto-eeg-diagnosis-example
  ☆36Updated 7 years ago
• CVxTz / EEG_classification
  EEG Sleep stage classification using CNN with Keras
  ☆179Updated last year
• raphaelvallat / yasa_classifier
  Notebooks for training the classifier of YASA sleep staging
  ☆23Updated 3 years ago
• flower-kyo / Tinysleepnet-pytorch
  TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG
  ☆30Updated 4 years ago
• tevisgehr / EEG-Classification
  This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
  ☆218Updated 8 years ago
• luciaquirke / sleep-apnea
  Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events. Kernels are visualised using Fourier…
  ☆22Updated 2 years ago