Kubeflow
Kubeflow is an open, community driven project to make it easy to deploy and manage an ML stack on Kubernetes
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Pinned repositories
Repositories
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pipelines
Machine Learning Pipelines for Kubeflow
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kfserving
Serverless Inferencing on Kubernetes
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website
Kubeflow's public website
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kfp-tekton
Kubeflow Pipeline with Tekton backend. Enables SDK functionalities (Compile, Upload, Launch) and KFP UI with execution and artifact tracking
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community
Information about the Kubeflow community including proposals and governance information.
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manifests
A repository for Kustomize manifests
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blog
Kubeflow blog based on fastpages
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testing
Test infrastructure and tooling for Kubeflow.
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examples
A repository to host extended examples and tutorials
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kfctl
kfctl is a CLI for deploying and managing Kubeflow
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kubeflow
Machine Learning Toolkit for Kubernetes
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kfp-tekton-backend
Experimental project plugging Tekton yaml behind KFP API and UI engine
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katib
Repository for hyperparameter tuning
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community-infra
Declarative configurations for KF community infrastructure
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internal-acls
Repository used to main group ACLs used by Kubeflow developers
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gcp-blueprints
Blueprints for Deploying Kubeflow on Google Cloud Platform and Anthos
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tf-operator
Tools for ML/Tensorflow on Kubernetes.
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mpi-operator
Kubernetes Operator for Allreduce-style Distributed Training
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pytorch-operator
PyTorch on Kubernetes
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metadata
Repository for assets related to Metadata.
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fairing
Python SDK for building, training, and deploying ML models
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common
Common APIs and libraries shared by other Kubeflow operator repositories.
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fate-operator
Fate operator
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xgboost-operator
Incubating project for xgboost operator
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code-intelligence
ML-Powered Developer Tools, using Kubeflow
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mxnet-operator
A Kubernetes operator for mxnet jobs
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fastpages Archived
fastpages is a platform for blogging
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frontend
Repository for kubeflow frontend
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caffe2-operator
Experimental repository for a caffe2 operator

