Reproducibility

pytorch-patterns helps you write, review, and debug PyTorch code with device-agnostic patterns, reproducible experiments, and explicit tensor handling. Use the pytorch-patterns skill for cleaner training loops, model refactors, and practical PyTorch guidance.

The lamindb skill helps you work with LaminDB, an open-source biology data framework for making data queryable, traceable, reproducible, and FAIR. Use it for lamindb for Data Analysis, metadata curation, ontology-based annotation, schema validation, and lineage-aware workflows across notebooks and pipelines.