Welcome to Amega AI¶
Welcome to the Amega AI documentation. Here you'll find comprehensive guides and documentation to help you start working with Amega AI as quickly as possible.
Quick Links¶
Documentation Structure¶
- API Documentation
- Authentication
- Endpoints
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Development
- Contributing
- Code Style
- Testing
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Guides
- Installation
- Best Practices
Getting Started¶
:octicons-arrow-right-24: Join Discussions
License¶
Amega AI is released under the MIT License
Community¶
We welcome contributions from the community! Check out our contribution guidelines to get started.
🚀 Quick Start¶
# Clone the repository
git clone https://github.com/amega-ai/amega-ai.git
# Set up environment
cd amega-ai
./scripts/setup_venv.sh
# Install dependencies
pip install -r requirements.txt
# Run the application
python -m src.amega_ai.main
🎯 Key Features¶
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:material-brain: Advanced AI Models
State-of-the-art machine learning capabilities with deep learning integration
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:material-shield-lock: Enterprise Security
Comprehensive security features including role-based access control and encryption
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:material-chart-line: Performance Monitoring
Real-time metrics and model drift detection with custom dashboards
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:material-cog-sync: MLOps Integration
Automated deployments and CI/CD pipelines with A/B testing
📚 Documentation Sections¶
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:material-api: API Documentation
Comprehensive API reference and integration guides
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:material-book-open-page-variant: User Guides
Step-by-step tutorials and best practices
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:material-code-tags: Development
Contributing guidelines and development setup
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:material-lightbulb-on: Best Practices
Recommended approaches and patterns
🤝 Community¶
Join our growing community:
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:material-github: GitHub Discussions
Engage with the community and get help
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:material-discord: Discord Community
Chat with developers and users
📄 License¶
Amega AI is released under the MIT License.