ML Project Generator

🚀 ml-project-generator (v2.0.0) is a powerful Python package that automates the creation of structured machine learning project templates. It helps you focus on development rather than setup by providing ready-to-use project structures with specialized templates for different ML domains.

✨ Features

Project Templates

• Basic ML: Standard ML project structure with scikit-learn support
• Deep Learning: PyTorch-based project with neural network support
• NLP: Natural Language Processing project with transformers
• Computer Vision: Image processing project with PyTorch and OpenCV

Each Template Includes

• 📁 Organized directory structure
• 📝 Example notebooks with step-by-step guides
• 🔧 Pre-configured dependencies
• 🛠 Template-specific utility functions
• 📊 Data preprocessing pipelines
• 🧪 Model training scripts
• 📈 Visualization utilities

Project Structure

my_ml_project/
├── data/
│   ├── raw/          # Original data
│   ├── processed/    # Processed data
│   ├── external/     # External data sources
│   └── interim/      # Intermediate data
├── models/
│   └── logs/         # Training logs
├── notebooks/        # Example notebooks
├── src/
│   ├── data/         # Data processing scripts
│   ├── models/       # Model implementations
│   └── utils/        # Utility functions
├── config/           # Configuration files
├── reports/          # Project reports
├── tests/            # Unit tests
└── scripts/          # Automation scripts

📥 Installation

From PyPI (Recommended)

pip install ml-project-generator

From GitHub

pip install git+https://github.com/AarambhaAnta/ml-project-generator.git

Development Installation

git clone https://github.com/AarambhaAnta/ml-project-generator.git
cd ml-project-generator
pip install -e .

🚀 Usage

Basic Usage

ml-gen my_project

With Template Selection

# Basic ML template (default)
ml-gen my_project

# Deep Learning template
ml-gen my_project --template deep_learning

# NLP template
ml-gen my_project --template nlp

# Computer Vision template
ml-gen my_project --template computer_vision

With Virtual Environment

ml-gen my_project --venv

📚 Example Notebooks

Each template includes specialized notebooks:

Basic ML

• Data exploration and analysis
• Model training and evaluation

Deep Learning

• Data preparation and PyTorch setup
• Model training with PyTorch

NLP

• Text preprocessing
• Transformer model training

Computer Vision

• Image preprocessing
• Vision model training

🛠 Development

1. Clone the repository:

   git clone https://github.com/AarambhaAnta/ml-project-generator.git
   

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On macOS/Linux
   venv\Scripts\activate     # On Windows
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Run tests:

   python -m pytest
   

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

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

🙏 Acknowledgments

• Inspired by the cookiecutter data science project template
• Built with ❤️ for the ML community

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Made with ❤️ by @AarambhaAnta