modinit 0.1.0

A tool for initializing AI model training repositories

modinit

A Python package for initializing AI model training repositories with a standardized structure.

Features

• Creates a well-structured project directory for AI model training
• Follows best practices for machine learning project organization
• Includes helpful docstrings in all generated files
• Simple command-line interface

Installation

pip install modinit

Usage

modinit my-project

This will create a new directory called my-project with the following structure:

my-project/
├── notebooks/            # Jupyter notebooks for experimentation
├── src/                  # Main source code package
├── data/                 # Data directory
│   ├── raw/              # Raw, immutable data
│   ├── processed/        # Processed data ready for modeling
│   └── interim/          # Intermediate data that has been transformed
├── configs/              # Configuration files
├── tests/                # Unit tests
├── main.py               # Entry point with CLI for running training/evaluation
└── requirements.txt      # Project dependencies

Development

To contribute to this project:

1. Clone the repository
2. Create a virtual environment
3. Install development dependencies: pip install -e ".[dev]"
4. Make your changes
5. Run tests: pytest

License

MIT