priml✴️

ML building blocks for training experiments.

Quick Start

# Mac:
#   # Required for quick install.
#   brew install uv

# Ubuntu/Debian:
#   # Required for quick install.
#   sudo apt-get install -y curl
#   curl -LsSf https://astral.sh/uv/install.sh | sh

uv add priml

# Alternatively: python -m pip install priml

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

See CONTRIBUTING.md for local validation and the public contribution flow.

License

Apache License 2.0

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priml-0.1.2.tar.gz (2.8 MB view details)

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