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Hi there πŸ‘‹

πŸ”­ I’m currently working in Algorithm Lab. at Gachon University.

🦷 I’m currently learning Genetic algorithms and also ML/DL.

β˜ƒοΈ Especially, I am interested in neural architecture search(NAS) and Medical AI such as diagnosing diseases using Microarray, RNA-seq, EEG, and etc.

jingeun kim's Projects

ai_paper_review icon ai_paper_review

까먹으면 λ‹€μ‹œ 보렀고 μ •λ¦¬ν•©λ‹ˆλ‹€.

attnsleep icon attnsleep

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

autocnn icon autocnn

This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper

ctnas icon ctnas

[CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators

densenet-pytorch icon densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

dnabert icon dnabert

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

eegnet icon eegnet

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

eegssl icon eegssl

Experiments on Self-Supervised Learning on EEG data

jingeunkim.github.io icon jingeunkim.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

misc-cheatsheet icon misc-cheatsheet

λŒ€ν•™μ› μƒν™œμ„ ν•˜λ©° μ‚¬μš©ν•˜λŠ” μž‘κ³  μ†Œμ€‘ν•œ μ½”λ”©νŒ (linux λͺ…λ Ήμ–΄ λ“±)

nasbench icon nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

noisy-heuristics-nas icon noisy-heuristics-nas

Code: Noisy Heuristics Neural Architecture Search. This repository contains Rough Notebooks of development of Noisy Heuristics NAS algorithm and a Refined and Documented code for Reuse/Sharing.

nsganetv2 icon nsganetv2

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

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