Role: Co-developer Org: Open Science Laboratory (OpenSciLab)
Summary
A flexible I/O interface for ML pipelines, built around one problem: saving a model with pickle means shipping executable code and hoping the other side loads it in the same environment you had. PyMilo serializes ML models into a transparent, non-executable format instead, so you can read what you are about to load before you load it, and exchanging a trained model stops being an act of faith. It is the first ML serialization package to provide a safe and transparent representation of models — comparable in intent to Hugging Face’s safetensors, but for full model objects.
Links
Related
O — the JOSS paper. Open Source Philosophy — the transparency argument this library embodies. PyCM — Multi-Class Confusion Matrix Library — sibling ML tooling.