Kexin Huang

DeepPurpose. A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

clinicalBERT. ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

MolTrans. MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

ml-genomics-resources. Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)

SkipGNN. SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)

CASTER. CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)

ESPF. Explainable Substructure Partition Fingerprint for Protein, Drug, and More (NeurIPS 19 LMRL Workshop)

MolDesigner-Public. MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning (NeurIPS 2020 Demo)

DrugDataResource. Datasets for Drug Discovery and Development

scGNN. scGNN: scRNA-seq Dropout Imputation via Induced Hierarchical Cell Similarity Graph

experiment-data-llm.

data_process. TDC Data Processing Tracker

drug-bert. Drug-BERT: Pre-training Drug Sub-structure Representation for Molecular Property Prediction

GNNPapers. Must-read papers on graph neural networks (GNN)

amplify-vite-react-template. My Amplify Gen 2 starter application

Coursera_Machine_Learning_Andrew. assignment for machine learning Coursera taught by Andrew Ng

intro_ml_nyu. Jupyter Notebook

data_analysis. Jupyter Notebook

github-issue-templates. :symbols: A collection of GitHub issue and pull request templates

nextjs-ai-bio-assistant. TypeScript

NLP. Jupyter Notebook

Basic-Algorithm. Java

CS231N_Stanford. Jupyter Notebook