mol-ml

Features and purpose

Machine learning workflows for molecular data. Use when building ML models with molecules, splitting datasets, selecting fingerprints for ML, avoiding data leakage, or doing scaffold-based train/test splits. Covers common pitfalls in molecular ML.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.