AI Engineering Landscape

This repository maintains a curated list of resources for AI Engineering. It is deployed here.

Contributing Resources

We welcome contributions! To add or update resources:

1. Fork the repository
2. Create a new branch for your changes
3. Edit the resources.yaml file
4. Commit your changes
5. Open a Pull Request

Guidelines for Contributions

• Ensure your resource is unique and valuable
• Follow the existing YAML structure
• Include comprehensive details
• Verify all links are active
• Be respectful and professional in descriptions

Resource Structure

Each resource should include:

• Name
• Description
• Links (website, github...)
• Tags
• Logo (preferably a file in logos/)

Pull Request Process

1. Describe the resources you're adding/updating
2. Ensure the YAML is valid and well-formatted
3. Your PR will be reviewed by maintainers
4. Once approved, changes will be merged and automatically deployed

Technical Details

• Automatically generated static site using GitHub Actions
• Searchable and sortable resources
• Hosted on GitHub Pages

Local Development

1. Ensure Python 3.9+ is installed
2. Install dependencies: pip install pyyaml jinja2 requests python-dotenv selenium webdriver-manager
3. Run site generation: python generate_site.py

Code of Conduct

Be kind, be constructive, and help us build a valuable resource collection.