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.
Metadata
Release files for lit-learn 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lit_learn-0.1.0.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lit_learn-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.0 kB
Release files / lit_learn-0.1.0.tar.gz
| Download URL | lit_learn-0.1.0.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
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Release files / lit_learn-0.1.0-py3-none-any.whl
| Download URL | lit_learn-0.1.0-py3-none-any.whl |
|---|---|
| Size | 15.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
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