Name: Deok Joong Lee
Type: User
Company: Korea University
Bio: Integrated M.S.-Ph.D. Student,
Department of Artificial Intelligence
Location: Seoul, Republic of Korea
Blog: https://www.linkedin.com/in/%EB%8D%95%EC%A4%91-%EC%9D%B4-7476001a3/
Deok Joong Lee's Projects
Convolutional AutoEncoder application on MRI images
Algorithm study code base
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
A collection of resources and papers on Diffusion Models
An awesome & curated list of docking papers
Paper Lists for Graph Neural Networks
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Awesome Protein Representation Learning
Deep Learning pipeline for motor-imagery classification.
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
Lung segmentation from CT images
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
A paper list of object detection using deep learning.
TensorFlow Basic Tutorial Labs
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Official implementation of "Population-Based Evolutionary Search for Joint Hyperparameters and Architectures Optimization in MI-BCI Classification"
Geometry Deep Learning for Drug Discovery and Life Science
Must-read papers on graph neural networks (GNN)
links to conference publications in graph-based deep learning
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
:mushroom: I used to do using IPython. I will show you useful IPython tip.
Introduction to Statistical Learning with R을 Python으로
마크다운 정리
MLP-Mixer code review
Code / solutions for Mathematics for Machine Learning (MML Book)
Molecular-team-study