kale and kubeflow
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 kubeflow
kubeflow/kubeflow
Machine Learning Toolkit for Kubernetes
Kubeflow helps AI platform teams build, deploy, and manage machine learning workflows on Kubernetes. It takes your raw data, machine learning code, and models, and provides an integrated platform to train, tune, and serve your AI applications efficiently. This toolkit is for platform administrators and AI practitioners responsible for operationalizing machine learning.
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