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🚀 Flottille

codecov

Flottille is a Python library designed to simplify the development and production deployment of data science and machine learning models. By providing streamlined interfaces and tools, Flottille helps you sail through your ML projects with ease! ⛵

🎯 Features

  • 📦 Model Development: Simplify your machine learning model building process with pre-configured templates and utilities.
  • ⚙️ Production Ready: Deploy your models effortlessly with built-in production tools for scaling and optimization.
  • 🚀 End-to-End Pipeline: Handle everything from data ingestion to model serving with a unified and flexible interface.
  • 📊 Evaluation & Monitoring: Track performance metrics and monitor your models in production with ease.
  • 🧑‍💻 Extensibility: Easily extend and customize Flottille to fit your unique data science needs.

📚 Getting Started

  1. Installation:

    You can install Flottille via pip:

    pip install flottille

  2. Basic Usage:

    Here’s how you can quickly get started with Flottille to train and deploy a machine learning model:

    

    3. 

  3. 

    Documentation:
    

    For detailed documentation, tutorials, and advanced usage, visit our Docs 📖.
    

    4. 



🎉 Why Choose Flottille?


    

  • 🛠️ Developer-Friendly: Designed with simplicity and productivity in mind, allowing developers to focus on building models rather than infrastructure.
    • 

  • 🔄 End-to-End Workflows: From data preprocessing to model deployment, everything is built in one cohesive system.
    • 

  • ⚡ Performance-Oriented: Optimized for handling real-world production workloads with scaling and monitoring features out of the box.
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  • 🎛️ Customizable Pipelines: Fully customizable components to adapt to any use case, whether you're working on small experiments or enterprise-level models.
    • 



🤝 Contributing


We welcome contributions from the community! Whether it's bug reports, feature requests, or pull requests, feel free to join the Flottille community. 🌍


    

  1. Fork the repo
    2. 

  2. Create your feature branch (git checkout -b feature/AmazingFeature)
    3. 

  3. Commit your changes (git commit -m 'Add some AmazingFeature')
    4. 

  4. Push to the branch (git push origin feature/AmazingFeature)
    5. 

  5. Open a pull request
    6. 



📄 License


This project is licensed under the MIT License - see the LICENSE file for details.


✨ Acknowledgements


Thanks to all the developers and contributors who make Flottille possible. Let's sail smoothly in the sea of data science together! ⚓




Enjoy sailing with Flottille! 🌊