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jiyoonjeong-archive's Projects

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.

attfield2

Fox, Birman, and Gardner (2023)

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

braindecode

Deep learning software to decode EEG, ECG or MEG signals

braindecode-1

Moved to https://github.com/TNTLFreiburg/braindecode!

causaldraw_public2021

public materials for manuscript

cnn_attention

Simulation and analysis code for Lindsay and Miller 2018

computational-cognitive-neuroscience-fourth-edition

Computational Cognitive Neuroscience, Fourth Edition

deep-learning-from-scratch

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

deep-learning-from-scratch-2

『밑바닥부터 시작하는 딥러닝 ❷』(한빛미디어, 2019)

deep-learning-from-scratch-3

『밑바닥부터 시작하는 딥러닝 ❸』(한빛미디어, 2020)

deep-learning-from-scratch-4

<밑바닥부터 시작하는 딥러닝 4>

dl-eeg-tutorial

Hands-on tutorial on deep learning for EEG classification.

eeg-atcnet

Attention temporal convolutional network for EEG-based motor imagery classification

eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

eeg-rsenet

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

eeg-transformer

A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

eeg_classifier

A general matlab framework for EEG data classification

erplab

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enor