Metadata-Version: 2.4
Name: nanoml
Version: 0.1.0
Summary: Small utility functions for machine learning
Project-URL: Homepage, https://github.com/dipta007/nanoml
Project-URL: Bug Tracker, https://github.com/dipta007/nanoml/issues
Author-email: Shubhashis Roy Dipta <iamdipta@gmail.com>
License-Expression: MIT
License-File: LICENSE
Keywords: AI,CV,Computer Vision,Deep Learning,Machine Learning,NLP,NanoML,Natural Language Processing,Utility Functions,machine learning,utility functions
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Requires-Dist: numpy>=1.24.4
Requires-Dist: torch>=2.5.0
Description-Content-Type: text/markdown

# nanoml

A collection of small utility functions for machine learning tasks.

## Table of Contents

- [Installation](#installation)
- [Utils](#utils)
- [Usage](#usage)
- [License](#license)

## Installation

```bash
pip install nanoml
```

## Utils


## Usage

- in progress

## 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` to install the dependencies
4. Run `pre-commit install` to install the pre-commit hooks
5. Make your changes and commit them
6. Run `sphinx-build -b html docs/source docs/build` to build the docs
6. Push to your fork
7. Open a PR


## License

MIT
