From 7387a3f9edc9aef32c8553580927c3248120ed96 Mon Sep 17 00:00:00 2001 From: clubanderson Date: Fri, 24 Apr 2026 21:47:28 +0000 Subject: [PATCH] feat: add KubeStellar Console to Kubernetes section Signed-off-by: clubanderson --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index a8bb91c..a924bf1 100644 --- a/README.md +++ b/README.md @@ -104,6 +104,7 @@ Machine learning involves a lot of experimentation. We end up training a lot of | [Kubeflow](https://www.kubeflow.org) | Apache 2.0 | The machine learning toolkit for kubernetes | | [Metaflow](https://metaflow.org) | Apache 2.0 | | | [envd](https://github.com/tensorchord/envd) | Apache 2.0 | The machine learning development environment for data science and AI/ML engineering teams. | +- [KubeStellar Console](https://github.com/kubestellar/console) - Multi-cluster Kubernetes dashboard with AI-powered operations, real-time observability, and CNCF project integrations across edge and cloud clusters. # Model validation Data validation has been around for some time, but what about validating ML? Although ML models are very dependant on the data that you feed them, models must also be validated before being released into the real world.