Code & Dataset

1. ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models 

ArXiv paper

Code & Dataset: GitHub - cm8908/ContrastCAD 

2. Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation 

ArXiv Paper

Code & Dataset: GitHub - DevSlem/Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Reward for Goal-directed Molecular Generation. 

3. CNN-Transformer model for TSP

A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems "

Code & Dataset: GitHub - cm8908/CNN_Transformer3 

4. 금요일에 과학터치 인천 코드와 Datset 

Code & Dataset: GitHub - cm8908/ScienceTouch_JibumKim_TSP 

5. GMR-Net for adaptive mesh refinement 

GMR-Net: GCN-based mesh refinement framework for elliptic PDE problems | SpringerLink 

Code: Available upon request (jibumkim@inu.ac.kr)

Software: Freefem, gmsh

6. ML model for predicting faulty remote water meter reading devices 

Sensors | Free Full-Text | A Cost-Effective CNN-LSTM-Based Solution for Predicting Faulty Remote Water Meter Reading Devices in AMI Systems (mdpi.com) 

Code: https://github.com/SouthGiri/Water_AMI/tree/main

Dataset: available upon requrest

7. Training Delaunay triangulation

Learning geometric combinatorial optimization problems using self-attention and domain knowledge

Dataset: https://github.com/hunni10/DelaunayDataset

Code: Available upon request (jibumkim@inu.ac.kr)