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A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes ๐Ÿš€

License: Apache License 2.0

dataops deep-learning kubernetes machine-learning machine-learning-operations machine-learning-pipelines machine-learning-projects machine-learning-training machine-learning-workflow ml ml-pipeline ml-workbench mlops model-management model-monitoring model-training operator orchestration workflow

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awesome-mlops-kubernetes

A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes ๐Ÿš€

  • Bodywork: Deploys machine learning projects developed in Python, to Kubernetes.
  • Katib: Kubernetes-based system for hyperparameter tuning and neural architecture search.
  • Kubeflow: A machine learning toolkit for Kubernetes.
  • Kserve: Serverless Inferencing on Kubernetes.
  • MLOperator: Machine Learning Operator & Controller for Kubernetes.
  • Pachyderm: Pachyderm is the leader in data versioning and pipelines for MLOps on Kubernetes.
  • Polyaxon: A cloud native platform for reproducible and scalable machine learning and deep learning on kubernetes.
  • Seldon Core: Open source platform for deploying and monitoring machine learning models in kubernetes.
  • Training Operator: Training operators on Kubernetes.

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