Metadata-Version: 2.4
Name: pyautoencoder
Version: 1.0.5
Summary: A Python package offering implementations of state-of-the-art autoencoder architectures in PyTorch.
Home-page: https://github.com/andrea-pollastro/pyautoencoder
Author: Andrea Pollastro
License: MIT
Keywords: autoencoder,pytorch,deep learning,machine learning,representation learning,dimensionality reduction,generative models
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch>=2.0.0
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

![logo](https://raw.githubusercontent.com/andrea-pollastro/pyautoencoder/main/assets/logo_nobackground.png)
[![PyPI version](https://img.shields.io/pypi/v/pyautoencoder.svg?color=orange&label=pypi)](https://pypi.org/project/pyautoencoder/)
[![License](https://img.shields.io/github/license/andrea-pollastro/pyautoencoder.svg)](https://opensource.org/licenses/MIT)

## 📦 Installation

```bash
pip install pyautoencoder
```

Or install from source:
```bash
git clone https://github.com/andrea-pollastro/pyautoencoder.git
cd pyautoencoder
pip install -e .
```

## 🤝 Contributing
Contributions are welcome — especially new autoencoder variants, training examples, and documentation improvements.
Please open an issue or pull request to discuss any changes.

## 📝 Citing
```bibtex
@misc{pollastro2025pyautoencoder,
  Author = {Andrea Pollastro},
  Title = {pyautoencoder},
  Year = {2025},
  Publisher = {GitHub},
  Journal = {GitHub repository},
  Howpublished = {\url{https://github.com/andrea-pollastro/pyautoencoder}}
}
```

## 📄 License
This project is licensed under the MIT License. See the LICENSE file for details.
