About This Project

Welcome to the UV Data Science Project Template! This project is designed to help you get started with data science projects quickly and efficiently by providing a structured, modern, and scalable foundation.

Why Use This Template?

• Streamlined Setup: Save time with pre-configured tools and environments.
• Reproducibility: Ensure consistent results across different systems.
• Collaboration: Facilitate teamwork with standardized workflows and CI/CD pipelines.
• Scalability: Transition seamlessly from development to production.

Key Features

• Docker Integration: Containerized environments for development and production.
• Modern Tooling: Includes UV, Ruff, Pyright, and more.
• Comprehensive Documentation: Guides, API references, and examples to get you started.
• Example Use Case: A pre-built autoencoder for image compression using PyTorch Lightning and FastAPI.

How to Contribute

We welcome contributions from the community! Here’s how you can get involved:

1. Fork the repository on GitHub.
2. Create a new branch for your feature or bug fix.
3. Submit a pull request with a detailed description of your changes.

For more details, see the Contributing Guide.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

If you have any questions or feedback, please feel free to reach out via GitHub Issues.

Acknowledgments

Thank you for using the UV Data Science Project Template! We hope it accelerates your data science journey.