Metadata-Version: 2.4
Name: sparse-coding
Version: 2.0.0
Summary: Biological vision principles for efficient representation learning from natural images
Project-URL: Funding, https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=WXQKYYKPHWXHS
Author-email: Benedict Chen <benedict@benedictchen.com>
Maintainer-email: Benedict Chen <benedict@benedictchen.com>
License: Custom Non-Commercial License with Donation Requirements
License-File: LICENSE
Requires-Python: >=3.9
Requires-Dist: matplotlib>=3.5.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: scikit-learn>=1.0.0
Requires-Dist: scipy>=1.7.0
Provides-Extra: test
Requires-Dist: pytest-cov>=4.0; extra == 'test'
Requires-Dist: pytest>=7.0; extra == 'test'
Description-Content-Type: text/markdown

# 💰 Support This Research - Please Donate!

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---

# Sparse Coding

🌟 Biological vision principles for efficient representation learning from natural images

**Olshausen, B. A., & Field, D. J. (1996)** - "Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images"

## 📦 Installation

```bash
pip install sparse-coding
```

## 🎓 About the Implementation

Implemented by **Benedict Chen** - bringing foundational AI research to modern Python.

📧 Contact: benedict@benedictchen.com

---

## 💰 Support This Work - Donation Appreciated!

**This implementation represents hundreds of hours of research and development. If you find it valuable, please consider donating:**

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