nanoml 0.1.2

Small utility functions for machine learning

nanoml

A collection of nano utility functions to make the ML code cleaner

[!IMPORTANT] This project is under active development. Feel free to open an issue or submit a pull request.

pip install nanoml

Documentation

• Documentation

Example

from nanoml.dtype import is_bf16_supported

print(is_bf16_supported())
# True if bfloat16 is supported, False otherwise

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

Contribution Steps:

1. Fork the repository
2. Create a new branch
3. Run uv sync or pip install -e . to install the dependencies
4. Run pre-commit install to install the pre-commit hooks
5. Make your changes and commit them
6. Push to your fork
7. Open a PR

License

MIT