Deok Joong Lee's repositories
Molecular-team-study
Molecular-team-study
algo_study
Algorithm study code base
AlphaFold3
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Deep-Learning-Paper-Review-and-Practice
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
GNNPapers
Must-read papers on graph neural networks (GNN)
MLP_Mixer_code_review
MLP-Mixer code review
awesome-docking
An awesome & curated list of docking papers
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
awesome-protein-representation-learning
Awesome Protein Representation Learning
BCI-ToolBox
Deep Learning pipeline for motor-imagery classification.
BrainGB
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
deep_learning_object_detection
A paper list of object detection using deep learning.
DiffDock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
EvoJoint
Official implementation of "Population-Based Evolutionary Search for Joint Hyperparameters and Architectures Optimization in MI-BCI Classification"
Geometry-Deep-Learning-for-Drug-Discovery
Geometry Deep Learning for Drug Discovery and Life Science
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
IBGNN
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
markdown_ko
마크다운 정리
MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book)
practical-ai-for-doctors
DevDoctors - 의사를 위한 실전 AI
Ready-For-Tech-Interview
💻 신입 개발자로서 준비를 하기 위해 지식을 정리하는 공간 👨💻
Standalone-DeepLearning
2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.
Uni-Mol
Official Repository for the Uni-Mol Series Methods
youtube-cnn-002-pytorch-unet
[CNN PROGRAMMING] 002 - UNET