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Kubeflow @kubeflow
Kubeflow is an open, community driven project to make it easy to deploy and manage an ML stack on Kubernetes
Kubeflow
@kubeflow · kubeflow.org
About the organization
Kubeflow is an open, community driven project to make it easy to deploy and manage an ML stack on Kubernetes
Primary technologies & languages
Technical topics & focus areas
Participation years
Repositories on GitHublive from github.com/kubeflow, ranked by starsAll 50 repos
The Cloud Native AI Platform
Machine Learning Pipelines for Kubeflow
259 open issues · good place to start if you want to contributeKubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
81 open issues · good place to start if you want to contributeDistributed AI Model Training and LLM Fine-Tuning on Kubernetes
120 open issues · good place to start if you want to contributeAutomated Machine Learning on Kubernetes
78 open issues · good place to start if you want to contributeA repository to host extended examples and tutorials
26 open issues · good place to start if you want to contributeKubeflow Community Distribution
9 open issues · good place to start if you want to contributeA CLI for Kubeflow.
13 open issues · good place to start if you want to contributeKubeflow’s superfood for Data Scientists
27 open issues · good place to start if you want to contributeKubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
92 open issues · good place to start if you want to contribute