This repository provides example notebooks and flows to help users get started with AI and machine learning on Red Hat platforms. It is supported by a library of tools that can be packaged to simplify usage and accelerate development.
- Example Notebooks: Step-by-step guides and practical examples.
- Reusable Flows: Predefined workflows for common AI tasks.
- Tool Library: Utilities and helper functions to streamline your projects.
- Clone this repository.
- Explore the
examples/directory for examples for different usecase. - Follow the instructions in each example's
README.mdfor setup and execution.
Contributions are welcome! Please open issues or submit pull requests for improvements. To get started with development and understand code quality standards, please see CONTRIBUTING.md guide.
The contributing guide includes:
- Development environment setup
- Required tools installation
- Pre-commit hooks configuration
- Code quality standards and manual checks
See LICENSE for details.