ekoputra26
An incandescent renegade who notoriously determined to disintegrating the unintended consequences into a beneficial coexsistence.
Indonesia
ekoputra26's Stars
sanmevv/eeg-schizophrenia
Enhancing early schizophrenia detection in adolescents through unconventional EEG signal preprocessing methods and advanced deep learning models.
petermartens98/EEG-Schizophrenia-Classification-CNN-Model
Python TensorFlow / Keras convolutional neural net (CNN) model trained on EEG data to classify schizophrenia vs control subjects with up to 98% accuracy.
estebanvz/backpropagation_pso
Article about pso as neural network optimizer instead backpropagation
mehrshad-sdtn/BSc-Thesis-Project
A Deep Learning Based approach for diagnosis of Schizophrenia using EEG brain recordings
daterka/Use-of-machine-learning-methods-to-diagnose-schizophrenia-based-on-EEG-signal
Use of machine learning methods to diagnose schizophrenia based on EEG signal
Rifat-Ansari/EEG-Project
Schizophrenia detection from EEG signals using Deep Learning
DigitalBiomarkerDiscoveryPipeline/Digital_Health_Data_Repository
The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.
ambitious-octopus/MI-EEG-1D-CNN
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430
mrzResearchArena/MI-EEG
Motor Imagery tasks from multi-channel EEG data
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
karljaats/EEG-data-from-basic-sensory-task-in-Schizophrenia
AsimFayyazRaja/NormalVSschizophrenia_Classification
Classification between normal people and schizophrenia patients using EEG signals and ML/DL algorithms
Neetx/EEG-Person-Identification
Biometic Systems project, based on "EEG-based user identification system using 1D-convolutional long short-term memory neural networks"
ys4315/EEG-user-identification
1D-convolutional LSTM based User Identification using EEG biometrics
theyou21/BigProject
EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models
akaraspt/deepsleepnet
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
ziyujia/Physiological-Signal-Classification-Papers
A list of papers for physiological signal classification using machine learning/deep learning.
i1idan/schizophrenia-diagnosis-eeg-signals
MTynes/Meta-Learning-for-EEG-Classification-in-Schizophrenia
Notebooks and pre-processing code for a meta learning paper/project involving the classification of EEG spectrograms.
CVxTz/EEG_classification
EEG Sleep stage classification using CNN with Keras
vlawhern/arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Alescontrela/Numpy-CNN
A numpy-only implementation of a Convolutional Neural Network, from the ground up.
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
iqaan/epilepsy-cnn
Final semester project work on automated epilepsy detection using CNN and Bonn. Dataset. Islamic University of Science and Technology
abhay8463/Speech-Emotion-Recognition-using-ML-and-DL
Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.
meagmohit/EEG-Datasets
A list of all public EEG-datasets
talhaanwarch/youtube-tutorials
SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
IulianBog/Intelligent-word-recognition-system-from-EEG-signals-using-a-convolutional-neural-network-Thesis-
matlab-deep-learning/Abnormal-EEG-Signal-Classification-Using-CNNs
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.