A toolkit for multi-task and multi-objective optimization.
Project description
lit-learn: A Toolkit for Deep Learning
lit-learn is a Python toolkit designed for deep learning built on PyTorch Lightning and Lightning Fabric.
📦 Installation
git clone https://github.com/tanganke/lit-learn.git
cd lit-learn
pip install -e .
📚 Documentation
Comprehensive documentation is available:
cd docs
make html
🎯 Roadmap
- Core architecture with Lightning/Fabric support
- Multi-task learning algorithms
- Multi-objective optimization methods
- Advanced Pareto optimization (NSGA-II, MOGA)
- Bayesian optimization integration
- AutoML for hyperparameter tuning
- More pre-built algorithms
- Integration with popular datasets
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
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