Code for the CHAMPS Predicting Molecular Properties Kaggle competition
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Updated
Aug 31, 2019 - Python
Code for the CHAMPS Predicting Molecular Properties Kaggle competition
Automatic Prediction of Molecular Properties Using Substructure Vector Embeddings within a Feature Selection Workflow
A browser-based tool for drawing, editing, inspecting, canonicalizing, and visualizing small molecules
A library for solving (linear) response equations in quantum chemistry
A Psi4 plugin for https://github.com/berquist/libresponse
AI agent (Claude + RDKit + Streamlit) for iterative lead optimization — proposes structural changes, scores ADMET/QED/BBB properties, and tracks the candidate journey visually
Graph Neural Network for molecular property prediction on QM9 and ZINC datasets
ML model for predicting molecular properties
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