Pinned Repositories
Agilent-Instruments-Usage-Summary
A GUI generator for the app of instruments usage summary. Limited to Agilent facilities, e.g., HPLC and GC, with logbook downloadable as a pdf file.
Aqueous-Solubility-Prediction
Aqueous solubility prediction
BMS-Molecular-Translation
A build-from-scratch cnn-transformer model for translating 2d chemical structures to InChI notations
Comparing-1D-CNN-and-Concept-Extraction-Model-for-Patient-Phenotyping
A build-from-scratch 1D CNN language model used on patient's discharge summary phenotyping and comparing the LM with concept extraction based classification models.
Deep-Learning-Andrew-Ng-I-week2
Deep Learning Specialization 5 Courses
github-slideshow
A robot powered training repository :robot:
GNN-for-Aqueous-Solubility-Prediction-using-AqSolDB
A graph neural network based on torch geometric for aqueous solubility prediction
ML-1
ML-2
ResNet-with-Adapters
OMSA-CS7643-Final
phelchegs's Repositories
phelchegs/Aqueous-Solubility-Prediction
Aqueous solubility prediction
phelchegs/BMS-Molecular-Translation
A build-from-scratch cnn-transformer model for translating 2d chemical structures to InChI notations
phelchegs/ML-1
phelchegs/ML-2
phelchegs/ResNet-with-Adapters
OMSA-CS7643-Final
phelchegs/Agilent-Instruments-Usage-Summary
A GUI generator for the app of instruments usage summary. Limited to Agilent facilities, e.g., HPLC and GC, with logbook downloadable as a pdf file.
phelchegs/Comparing-1D-CNN-and-Concept-Extraction-Model-for-Patient-Phenotyping
A build-from-scratch 1D CNN language model used on patient's discharge summary phenotyping and comparing the LM with concept extraction based classification models.
phelchegs/Deep-Learning-Andrew-Ng-I-week2
Deep Learning Specialization 5 Courses
phelchegs/github-slideshow
A robot powered training repository :robot:
phelchegs/GNN-for-Aqueous-Solubility-Prediction-using-AqSolDB
A graph neural network based on torch geometric for aqueous solubility prediction
phelchegs/html-portfolio
Jiancheng's Portfolio
phelchegs/ML-3
neural networks from scratch