Base Machine Learning Code

Local Usage

This project is now managed with uv so everything lives in a standard pyproject.toml.

# create the environment and install the core package + dev tools
uv sync

# run any command inside the environment
uv run python -c "import mlbase"

Common Tasks

The repo uses Astral tooling by default:

• uv run ty lint — run Ruff checks
• uv run ty fmt — apply Ruff formatting
• uv run ty tests — execute the pytest suite

The package only declares its core runtime dependency (numpy) and a single dev group (ty, Ruff, pytest). Install other frameworks (PyTorch, TensorFlow, etc.) in your virtual environment as needed with uv add so they stay opt-in.