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amazon-sagemaker-mlops-with-featurestore-and-datawrangler Public
Forked from aws-samples/amazon-sagemaker-mlops-with-featurestore-and-datawranglerPython MIT No Attribution UpdatedMar 6, 2022 -
mlops-workload-orchestrator Public
Forked from aws-solutions/mlops-workload-orchestratorThe MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework tha…
Python Apache License 2.0 UpdatedJan 24, 2022 -
mlops-safe-deployment Public
MLOPS SAFE DEPLOYMENT
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MLOpsPython Public template
Forked from microsoft/MLOpsPythonMLOps using Azure ML Services and Azure DevOps
Python MIT License UpdatedApr 21, 2021 -
amazon-sagemaker-mlops-workshop Public
Forked from awslabs/amazon-sagemaker-mlops-workshopMachine Learning Ops Workshop with SageMaker: lab guides and materials.
Jupyter Notebook MIT No Attribution UpdatedApr 15, 2021 -
amazon-sagemaker-safe-deployment-pipeline Public
Forked from aws-samples/amazon-sagemaker-safe-deployment-pipelineSafe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
Jupyter Notebook MIT No Attribution UpdatedApr 7, 2021 -
pipelines-azureml Public
Forked from pulkitaggarwl/pipelines-azuremlExample Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service
Python Creative Commons Attribution 4.0 International UpdatedApr 5, 2021 -
mlops-amazon-sagemaker-devops-with-ml Public
Forked from aws-samples/mlops-amazon-sagemakerWorkshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
Python Apache License 2.0 UpdatedDec 1, 2020