Azure/AI-in-a-Box

AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

51
/ 100
Established

Provides production-ready accelerators covering MLOps pipelines, edge AI deployment, document processing, RAG-enabled chatbots, and generative AI applications—each with pre-built infrastructure-as-code templates for Azure ML, IoT Edge, Azure OpenAI, and Cognitive Services. Includes governance guidance on responsible AI, security hardening for GenAI, and scaling patterns. Designed for inner-loop (model development) and outer-loop (infrastructure) automation using Azure CLI v2, Azure Data Factory, and Bot Framework for multi-channel deployment.

593 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

593

Forks

196

Language

Jupyter Notebook

License

MIT

Last pushed

Dec 12, 2024

Commits (30d)

0

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