# Quant ML Lib
Quant ML Lib is a Python package for financial machine learning, providing reproducible, interpretable, and easy-to-use tools for portfolio managers and traders.
## Features
- Peer-reviewed algorithms from top financial journals
- Techniques from leading authors in financial machine learning
- Extensive documentation and tutorials
- Community support and sponsorship model
## Installation
Install Quant ML Lib using pip:
```bash
pip install quantmllib
```
## Usage
Import Quant ML Lib in your Python code:
```python
import quantmllib
```
Refer to the [documentation](https://danchev.github.io/quantmllib/) for detailed examples and API reference.
## Documentation & Tutorials
- [Online Documentation](https://danchev.github.io/quantmllib/)
- [Tutorial Notebooks](https://github.com/danchev/quantmllib-research)
## Contributing
Contributions are welcome! Please see our [contributing guidelines](https://github.com/danchev/quantmllib/blob/master/CONTRIBUTING.md) for details.
## License
This project is licensed under an all rights reserved license. See [LICENSE.txt](https://github.com/danchev/quantmllib/blob/master/LICENSE.txt) for details.
## Attribution
This project is a fork of the MLFInLab library, a comprehensive framework for financial machine learning. Our objective is to build upon its foundation, with a renewed emphasis on reproducibility and interpretability in the development and application of financial ML methodologies.
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