useml 0.0.1

Simplifying PyTorch workflows: Pipeline, Versioning, and Vault.

useml

Stop coding plumbing, start training models.

useml is a minimalist framework for PyTorch designed to eliminate the 90% of software engineering overhead in Machine Learning projects. It handles pipelines, versioning, and environment sealing so you can focus on the architecture.

Key Features

• AtomicData: Type-safe data structures for PyTorch.
• Auto-Versioning: Every run is automatically linked to a Git commit and config snapshot.
• The Vault: Seal your model, schema, and weights into a single, portable artifact.
• Zero Friction: If it doesn't simplify your code, it doesn't belong in useml.

Quick Start

import useml

# Your logic here
# trainer = useml.Trainer(model, schema)
# trainer.train(loader)

Installation

pip install useml

Why useml?

Most ML projects fail because of "hidden technical debt" in the pipeline. useml enforces a clean structure from the first line of code, ensuring that every experiment you run is 100% reproducible and deployable.