Welcome to the AI Toolkit for Azure IoT Edge

Our goal with the Azure IoT Edge Toolkit is to bring the power of advanced analytics, machine learning, and artificial intelligence to the edge. The toolkit will show you how to package deep learning models in IoT Hub compliant Docker containers and expose them as REST APIs. The toolkit is a collection of scripts, code, and deployable containers. We've included examples for predictive maintenance, image classification, and speech processing to help get you started, but the possibilities are wide open. We'll be adding new examples and tools often. The models can be used as-is or and customized to better meet your specific needs and use cases.

We welcome your feedback and contributions and look forward to building together.

Thanks, the Azure Machine Learning team.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.