# About the Share Your Projects category

**URL:** <https://discourse.nodered.org/t/about-the-share-your-projects-category/14>\
**Category:** Share Your Projects\
**Created:** [24 April 2018 21:51 UTC](https://discourse.nodered.org/t/about-the-share-your-projects-category/14 "2018-04-24T21:51:30Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![knolleary](https://sea2.discourse-cdn.com/flex026/user_avatar/discourse.nodered.org/knolleary/32/3_2.png) [@knolleary](https://discourse.nodered.org/u/knolleary)\
**Post date:** [24 April 2018 21:51 UTC](https://discourse.nodered.org/t/about-the-share-your-projects-category/14/1 "2018-04-24T21:51:30Z")

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Share what you’ve done with Node-RED.

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**Author:** ![482170765](https://sea2.discourse-cdn.com/flex026/user_avatar/discourse.nodered.org/482170765/32/80151_2.png) [@482170765](https://discourse.nodered.org/u/482170765)\
**Post date:** [28 May 2023 15:38 UTC](https://discourse.nodered.org/t/about-the-share-your-projects-category/14/3 "2023-05-28T15:38:47Z")

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We have implemented a project named "Kube-node-red ". It aims to integrate Kubeflow/Kubebeters with node-red, leveraging node-red's low-code modules, and using Kubeflow resources (e.g. Kubeflow pipeline, Kserve) to enhance its AI/ML ability. Please refer the following site for details about its purpose and techniques. As it is based on the complete Node-red codes and coping with the Kubeflow, we would like to seek proper suggestions about if it is of interest for Node-red community, and where we should do the PR in the Node-red repository.  
Kube-node-red code site: [GitHub - NightLightTw/kubeflow-Node-RED: Integrating Kubeflow with Node-RED.](https://github.com/NightLightTw/kubeflow-Node-RED)

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**Author:** ![482170765](https://sea2.discourse-cdn.com/flex026/user_avatar/discourse.nodered.org/482170765/32/80151_2.png) [@482170765](https://discourse.nodered.org/u/482170765)\
**Post date:** [28 May 2023 15:44 UTC](https://discourse.nodered.org/t/about-the-share-your-projects-category/14/4 "2023-05-28T15:44:07Z")

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This project takes three AI training flows as examples to illustrate the Node-red's capabilities in orchestrating kubeflow's pipeline op.s for AI training. They are Random-forest, Decision tree, and Logistic regression. The data set is breast cancer data.