Prediction
Build and compare models for polymer properties using consistent data and descriptor workflows.
Model layer
ML Algorithms
Reusable algorithmic building blocks for polymer property prediction, benchmark experiments, and model-assisted screening.
Open PyPolyMLBenchmarking
Turn community datasets into repeatable baselines for papers, demos, and partner evaluations.
Deployment bridge
Connect trained models to web prediction interfaces and application-specific screening tools.