kale and blog
About kale
kubeflow/kale
Kubeflow’s superfood for Data Scientists
Kale helps data scientists transform their interactive Jupyter notebooks into reproducible and scalable machine learning workflows on Kubeflow. It takes your existing Jupyter notebooks, which can include data exploration and model training code, and converts them into structured Kubeflow Pipelines. The output is an automated, production-ready machine learning pipeline that can be easily run and managed, even without deep expertise in Kubernetes or workflow orchestration platforms.
About blog
kubeflow/blog
Kubeflow blog based on fastpages
This is the official blog for Kubeflow, a project that helps machine learning teams use AI tools on Kubernetes. It publishes articles, tutorials, and updates about Kubeflow features, use cases, and community news. Data scientists, MLOps engineers, and machine learning practitioners who want to stay informed about the Kubeflow ecosystem or share their own experiences would find this blog useful.
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