README.md

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license: mit
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### Model Description

This repository contains trained models for 9 sustainability systems.

Each system has its own dedicated folder, named according to the specific sustainability system name.
Within each folder, you will find two model checkpoints:

* **`best.pth`** — the model with the best validation performance
* **`last.pth`** — the final checkpoint saved at the end of training

These checkpoints can be used for further fine-tuning, evaluation, or inference.

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### Intended Use

The models are intended for research and practical applications related to **sustainability system analysis and decision support**. They may serve as baselines or pretrained backbones for downstream machine learning tasks within this domain.

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### Citation

If you use these models or the related dataset in your research, please cite:

> **Bissarinova, U., Tleuken, A., Varol, H. A., & Karaca, F. (2025).**
> *AI for City Districts: Estimating City Districts' Sustainability using Satellite Data* [Dataset].
> Institute of Smart Systems and Artificial Intelligence & Department of Civil and Environmental Engineering, Nazarbayev University. Hugging Face.
> [https://doi.org/10.57967/hf/6652](https://doi.org/10.57967/hf/6652)

**BibTeX:**

```bibtex
@dataset{bissarinova2025ai_city_districts,
  author       = {Bissarinova, Ulzhan and Tleuken, Aidana and Varol, Huseyin Atakan and Karaca, Ferhat},
  title        = {AI for City Districts: Estimating City Districts' Sustainability using Satellite Data},
  year         = {2025},
  institution  = {Institute of Smart Systems and Artificial Intelligence & Department of Civil and Environmental Engineering, Nazarbayev University},
  publisher    = {Hugging Face},
  doi          = {10.57967/hf/6652},
  url          = {https://doi.org/10.57967/hf/6652}
}
```

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