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Name: Jonghwan Choi
Type: User
Company: Hallym University
Bio: Assistant Professor in Hallym University. I am interested in developing machine learning models for Cheminformatics
Location: Korea, Republic of
Jonghwan Choi's Projects
24-1_rl_class_teamb
Now on Developing. Making Adam-Based Optimizer with Reinforcement Learning
24-1_rl_class_teamc
Stock trading with Reinforcement Learning
24-1_rl_class_teamd
각 사용자에게 맞는 개인화된 음식 추천을 위한 강화학습 알고리즘 개발
24-1_rl_class_teame
내시경 시스템의 자율 제어 및 경로 최적화 프로그램
24-1_rl_class_teamf
강화학습 기반의 의료영상진단 - 종양진단 뇌파영상 분석
24-1_rl_class_teamh
강화학습을 활용한 금융 시장 투자 전략 개발
24-1_rl_class_teami
Implement Music Recommendation System by DQN
24-1_rl_class_teamk
강화학습을 사용하여 특정 분자구조와 비슷한 새로운 분자구조 생성
24-1_rl_class_teamm
지진 시뮬레이션 강화학습
24-1_rl_class_teamn
Neural Network를 pruning 하기 위한 심층강화학습 기반 알고리즘 구현
24-1_rl_class_teamo
불법 드론 대응 드론을 위한 자율비행 시스템
3d-emgp
[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"
accurate-prediction-prognosis
Accurate prediction of cancer prognosis by exploiting patient-specific cancer driver genes
admet_xgboost
Accurate ADMET Prediction with XGBoost
affinity2vec
Drug-target binding affinity prediction using representation learning, graph mining, and machine learning
aizynthfinder
A tool for retrosynthetic planning
biapi
"Bio publications API" using PubMED, PatentsView, genax.
bptok
MolGPT with Branch Permutation-based Tokenization of SMILES
bt4molgen
Back translation for molecule generation (bioinformatics 2022)
charm
Machine learning for cryosection pathology predicts the 2021 WHO classification of glioma
chempixch
Recognising hand-drawn molecules with neural networks
chemprop
Message Passing Neural Networks for Molecule Property Prediction
chemtype2
The semi-unsupervised version of the molecule recognition engine, chemtype.
coma
COMA: Efficient Structure-constrained Molecular Generation using Contractive and Margin losses
constrained-graph-variational-autoencoder
Sample code for Constrained Graph Variational Autoencoders
cpr
Identification of heterogeneous biomarkers for breast cancer using Clustering and PageRank algorithms (bioinformatics)
curiosity_chemical_space
Thiede, Luca A., et al. "Curiosity in exploring chemical spaces: intrinsic rewards for molecular reinforcement learning." Machine Learning: Science and Technology 3.3 (2022): 035008.
dci-pytorch
The pytorch implementation of decoupling representation learning and classification for GNN-based anomaly detection.
ddpm
Denoising Diffusion Probabilistic Models
decimer-image_transformer
DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer
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