Metadata-Version: 2.4
Name: softcomputing-jyoti
Version: 0.2.0
Summary: A collection of neural network implementations and soft computing algorithms
Home-page: https://github.com/jyotirahate/softcomputing
Author: Jyoti Rahate
Author-email: your.email@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: minisom
Requires-Dist: neurodynex
Requires-Dist: fuzzywuzzy
Requires-Dist: python-Levenshtein
Requires-Dist: scikit-fuzzy
Requires-Dist: networkx
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Neural Networks Toolkit

A comprehensive collection of neural network implementations and soft computing algorithms.

## Features

- Backpropagation algorithms
- Hopfield Networks
- Kohonen Self-Organizing Maps (SOM)
- Perceptron implementations
- Radial Basis Function Networks
- Genetic Algorithms
- Fuzzy logic implementations
- And more!

## Installation

### From source
```bash
pip install .
```

### From GitHub (after uploading)
```bash
pip install git+https://github.com/yourusername/neural-networks-toolkit.git
```

## Usage

```python
from neural_networks_toolkit import backpropagation, hopfield_network
# Use the modules as needed
```

## Requirements

- Python >= 3.7
- See requirements.txt for dependencies

## License

MIT License
