{"data":{"full_name":"mdsunivie/deeperwin","name":"deeperwin","description":"DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing  wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.","stars":67.0,"forks":8.0,"language":"Python","license":"NOASSERTION","archived":0.0,"subcategory":"chemical-property-ml","last_pushed_at":"2025-04-18T19:55:09+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":8.0,"maturity_score":16.0,"community_score":13.0,"quality_score":39.0,"quality_tier":"emerging","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-09T11:45:59.856021+00:00"}}