Machine learning phases of matter

Topological order is studied using neural networks.

Getting Started

Here's how to set up learning-phases for local development.

1. Fork the learning-phases repo on GitHub.

2. Clone your fork locally::

   $ git clone git@github.com:your_name_here/learning-phases.git

3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development

   $ mkvirtualenv $HOME/.virtualenvs/learning-phases
   $ source $HOME/.virtualenvs/learning-phases/bin/activate
   $ pip install -r learning-phases/requirements_dev.txt

4. Create a branch for local development

   $ git checkout -b name-of-your-bugfix-or-feature

   Now you can make your changes locally.

5. When you're done making changes, check that your changes pass the tests,

   $ cd learning-phases/
   $ nosetests

6. Commit your changes and push your branch to GitHub::

   $ git add .
   $ git commit -m "Your detailed description of your changes"
   $ git push origin master name-of-your-bugfix-or-feature

    7. Submit a pull request through the GitHub website.

Contributing

Feel free to contributing. As for now, there are no specific requirements for contributing.

Authors

• August von Hacht - Initial work - vonhachtaugust

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details