Malleable ML building blocks for training experiments.
Project description
priml
Malleable ML building blocks for training experiments.
Install
pip install priml
Requires Python 3.12 or newer.
What's inside
- models — composable model definitions and building blocks.
- optimizers — optimizer implementations for training.
- loss — loss functions.
- metrics — evaluation metrics.
- math — numerical and math utilities.
- train — the training loop and experiment scaffolding.
- data — the data pipeline and dataset utilities.
- inference — inference helpers.
Development
This package is developed in a monorepo and synced to this public repository. See CONTRIBUTING.md for local validation and the public contribution flow.
License
Apache License 2.0
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