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
pip install .
From GitHub (after uploading)
pip install git+https://github.com/yourusername/neural-networks-toolkit.git
Usage
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
1 maintainer
Metadata
1 maintainer
Release files for softcomputing-jyoti 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| softcomputing_jyoti-0.2.0.tar.gz | 8.6 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| softcomputing_jyoti-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.3 kB
Release files / softcomputing_jyoti-0.2.0.tar.gz
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| Size | 8.6 kB |
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| Download URL | softcomputing_jyoti-0.2.0-py3-none-any.whl |
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| Tags | Python 3 |
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