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Search: mlops-e2e
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Showing 9 results from 9
aws-samples/mlops-e2e
GitHub TypeScript MIT No AttributionMLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
External source
GitHub
niall-turbitt/e2e-mlops
GitHub Python[DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template
External source
GitHub
rafaelgreca/e2e-mlops-project
GitHub HTML MIT LicenseThe purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.
External source
GitHub
microsoft/Machine-Learning-Patient-Risk-Analyzer-SA
GitHub C# MIT LicenseMachine Learning Patient Risk Analyzer Solution Accelerator is an end-to-end (E2E) healthcare app that leverages ML prediction models (e.g., Diabetes Mellitus (DM) patient 30-day re-admission, breast cancer risk, etc.) to demonstrate how these models can provide key insights for both physicians a... Read more
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GitHub
niall-turbitt/e2e-mlops-azure
GitHub PythonDemo repository implementing an end-to-end MLOps workflow on Databricks, using Azure DevOps for CICD orchestration. Project derived from dbx basic python template
External source
GitHub
alex000kim/open-source-mlops-e2e
GitHub Jupyter Notebook MIT LicenseNo description available from source.
External source
GitHub
renardeinside/e2e-mlops-demo
GitHub PythonE2E MLOps with Databricks
External source
GitHub
zenml-io/template-e2e-batch
GitHub Python Apache License 2.0A copier template repository for a e2e batch ZenML MLOps pipeline.
External source
GitHub
davew-msft/MLOps-E2E
GitHub Jupyter NotebookNo description available from source.
External source
GitHub