yaz981's Stars
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
poloclub/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
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
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
krishk97/ECE-C247-EEG-GAN
GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.
bregydoc/bcidatasetIV2a
This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor imagery
iis-eth-zurich/eeg-tcnet
hauke-d/cnn-eeg
CNN classifier to classify MI-EEG signals
Kearlay/research
Motor Imagery Classification based on EEG at Columbia Medical Center
sccn/clean_rawdata
Cleaning Raw EEG data
meagmohit/BLINK
Codes and Dataset for the paper titled, "Blink: A Fully Automated Unsupervised Algorithm for Eye Blink Detection in EEG Signals"
lokhande-vishnu/IITK_Motor_EEG
Motor Imagery EEG signal Classification on DWT
faheemersh/Senior_Design_Dry_EEG_BCI
Senior Design Project at UH
Rehan-A/EEG-signal-classification-using-Deep-Learning
bustios/res
This repository contains all the code used in the experiments of the paper Restricted Exhaustive Search for Frequency Band Selection in Motor Imagery Classification as well as additional information of the experiments and results, and how to reproduce them.
s151202/current_code
current, uptodated code used for my masters thesis in HCI, for signal processing and result analysis, tested on the BCI competition IV dataset 2a
dubin007/MI-cassification
Improving Motor Imagery EEG Classification by CNN with Data Augmentation
sirish-gambhira/Effective-Connectivity-in-Brain-during-MI-tasks
Effective Connectivity in Brain using different metrics are studied when motor imagery tasks are performed.