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Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.

This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.

Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.

  • alphafold3
  • docking
  • drug-design
  • drug-discovery

Public transport data in GTFS format with schemas, a data package and tests

  • open-data
  • data-package
  • gtfs
  • json-table-schemas