.. hashtron documentation master file, created by sphinx-quickstart on Tue Jan 14 18:07:21 2025. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to Hashtron's Documentation! ==================================== **Hashtron** is a powerful Python library for building and training neural networks with a focus on efficiency and scalability. Whether you're working on machine learning research, developing AI applications, or exploring neural network architectures, Hashtron provides the tools you need to succeed. This documentation will guide you through the installation, usage, and customization of Hashtron. Below, you'll find links to the main sections of the documentation: - :doc:`hashtron`: Learn about the structure of the Hashtron package, its submodules, and how to use them. - :doc:`usage`: Get started with practical examples, including installation instructions, basic usage, and advanced configurations. .. toctree:: :maxdepth: 2 :caption: Contents: hashtron usage Getting Started --------------- To get started with Hashtron, follow these steps: 1. **Installation**: Install the package using pip: .. code-block:: bash pip install hashtron 2. **Basic Usage**: Check out the :doc:`usage` guide for examples of how to create and train neural networks using Hashtron. 3. **Explore the API**: Dive into the :doc:`hashtron` documentation to understand the available modules and their functionalities. Contributing ------------ We welcome contributions! If you'd like to contribute to Hashtron, please follow these steps: 1. Open an issue to discuss your proposed changes. 2. Fork the repository and implement your changes. 3. Submit a pull request with a detailed description of your changes. For more details, see the :doc:`usage` section on contributing. License ------- Hashtron is licensed under the **MIT License**. See the `LICENSE `_ file for more details. Indices and Tables ------------------ * :ref:`genindex` * :ref:`modindex` * :ref:`search`