Metadata-Version: 2.1
Name: nevopy
Version: 0.1.1
Summary: An open source neuroevolution framework for Python.
Home-page: https://github.com/Talendar/nevopy
Author: Gabriel Guedes Nogueira (Talendar)
Author-email: gabriel.gnogueira@gmail.com
License: MIT License
Download-URL: https://github.com/Talendar/nevopy/releases
Description: <img src="https://github.com/Talendar/nevopy/blob/master/docs/imgs/nevopy.png?raw=true" width="180" alt="NEvoPy logo">
        
        <h2> Neuroevolution for Python </h2>
        
        ![Python versions](https://img.shields.io/pypi/pyversions/nevopy)
        [![License](https://img.shields.io/github/license/Talendar/nevopy)](https://github.com/Talendar/nevopy/blob/master/LICENSE)
        [![PyPI](https://img.shields.io/pypi/v/nevopy)](https://pypi.org/project/nevopy/)
        [![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://nevopy.readthedocs.io/en/latest/index.html)
        
        *NEvoPy* is an open source neuroevolution framework for Python. It provides a
        simple and intuitive API for researchers and enthusiasts in general to quickly
        tackle machine learning problems using neuroevolutionary algorithms. *NEvoPy* is
        optimized for distributed computing and has compatibility with TensorFlow.
        
        Currently, the neuroevolutionary algorithms implemented by *NEvoPy* are:
        
          * **NEAT** (NeuroEvolution of Augmenting Topologies), a powerful method by
            Kenneth O. Stanley for evolving neural networks through complexification;
          * the standard fixed-topology approach to neuroevolution, with support to
            TensorFlow and deep neural networks.
        
        Note, though, that there's much more to come!
        
        In addition to providing high-performance implementations of powerful
        neuroevolutionary algorithms, such as NEAT, *NEvoPy* also provides tools to help
        you more easily implement your own algorithms.
        
        Neuroevolution, a form of artificial intelligence that uses evolutionary
        algorithms to generate artificial neural networks (ANNs), is one of the most
        interesting and unexplored fields of machine learning. It is a vast and
        expanding area of research that holds many promises for the future.
        
        <h2> Installing </h2>
        
        To install the current release, use the following command:
        
        ```
        $ pip install nevopy
        ```
        
        <h2> Getting started </h2>
        
        To learn the basics of *NEvoPy*, the
        [XOR example](https://colab.research.google.com/github/Talendar/nevopy/blob/master/examples/xor/nevopy_xor_example.ipynb)
        is a good place to start. More examples can be found in the
        [`examples`](https://github.com/Talendar/nevopy/tree/master/examples) folder of
        the project's GitHub repo.
        
        You should also take a look at
        [this](https://nevopy.readthedocs.io/en/latest/nevopy_overview.html) quick
        overview on *NEvoPy*. The project's documentation is available on
        *Read the Docs*, through this
        [link](https://nevopy.readthedocs.io/en/latest/index.html).
        
        <p>
          <a href="https://github.com/Talendar/nevopy/blob/master/examples/flappy_bird/flappy_bird_simple_neat.py">
            <img align="center" 
               src="https://github.com/Talendar/nevopy/blob/r0.1.0/docs/imgs/flappy_bird.gif?raw=true" 
               height="250"/>
          </a>
          &nbsp;&nbsp;&nbsp;
          <a href="https://github.com/Talendar/nevopy/blob/master/examples/lunar_lander/lunar_lander_neat.py">
            <img align="center" 
               src="https://github.com/Talendar/nevopy/blob/r0.1.0/docs/imgs/lunar_lander.gif?raw=true" 
               height="250"/>
          </a> 
          &nbsp;&nbsp;&nbsp;
          <a href="https://github.com/Talendar/nevopy/blob/master/examples/cart_pole/cart_pole_neat.py">
            <img align="center" 
               src="https://github.com/Talendar/nevopy/blob/r0.1.0/docs/imgs/cart_pole.gif?raw=true" 
               height="250"/>
          </a> 
        </p>
        
        <h2> Citing </h2>
        
        If you use *NEvoPy* in your research and would like to cite the *NEvoPy*
        framework, here is a Bibtex entry you can use. It currently contains only the
        name of the original author, but more names might be added as more people
        contribute to the project. Also, feel free to contact me (Talendar/Gabriel) to
        show me your work - I'd love to see it.
        
        ```
        @misc{nevopy,
          title={ {NEvoPy}: A Neuroevolution Framework for Python},
          author={Gabriel Guedes Nogueira},
          howpublished={\url{https://github.com/Talendar/nevopy}},   
        }
        ```
        
Keywords: nevopy neuroevolution evolutionary algorithms machine learning
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
