# Team
The library was developed by:

- [**Pınar Yalçın Güler**](https://github.com/yalcinp)  
- [**Muhammed Enis Şen**](https://github.com/MEnisSen)  
- [**Buğra Eyidoğan**](https://github.com/bugraeydo)
- [**Süha Tuna**](https://web.itu.edu.tr/suhatuna/)

## Why we built this library

High-dimensional tensors and multivariate functions are often difficult to analyze directly because interaction structure grows rapidly with dimension. HDMRLib was created to support these settings with tools that make lower-order representations easier to compute, inspect, and compare across different computational backends.

The project is intended to support users who need:

- interpretable lower-order decompositions
- a consistent workflow for HDMR and EMPR
- backend flexibility across NumPy, PyTorch, and TensorFlow
- reusable software for research, experimentation, and teaching

## Open-source development

HDMRLib is maintained as an open-source software project. The codebase, issue tracking, and development history are available through the public repository.

We aim to make the library useful both as a research tool and as a software foundation that can be extended in future work.

## Contact and repository

- **Source code:** [GitHub repository](https://github.com/hdmrlib/HDMRLib)