Rule-Driven Comprehensive AI Toolkit

iamai is a comprehensive AI toolkit for multimodal learning and cross-platform robotics. It is designed to be a rule-driven, modular, and extensible framework for building AI applications.

iamai is built on top of the following libraries:

• Rust: A systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety.
• PyO3: A Rust library for building Python bindings.
• Aiohttp: An asynchronous HTTP client/server framework for Python.
• Click: A Python package for creating command-line interfaces.
• Flask: A lightweight WSGI web application framework.
• Loguru: A Python logging library.
• Polib: A Python library for manipulating gettext files.
• Pydantic: Data validation and settings management using Python type annotations.
• Requests: A simple HTTP library for Python.
• Rich: A Python library for rich text and beautiful formatting in the terminal.
• Scikit-learn: A Python library for machine learning.
• Toml: A Python library for parsing TOML files.
• `Typing-extensions: Type hints for Python.

Installation

To install iamai, run the following command:

pip install iamai

Usage

To use iamai, run the following command:

iamai

Contributing

To contribute to iamai, follow these steps:

1. Fork this repository.
2. Create a branch: git checkout -b <branch_name>.
3. Make your changes and commit them: git commit -m '<commit_message>'.
4. Push to the original branch: git push origin <project_name>/<location>.
5. Create the pull request.

Alternatively, see the GitHub documentation on creating a pull request.

Support

If you have any questions, please contact me at academic@jyunko.cn.

License

This project is licensed under the AGPLv3 License. See the COPYING file for details.