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  1. Home
  2. /Repositories
  3. /aws/sagemaker-example-notebooks-testing
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repoGitHubTrust 82 Β· PrimaryPublished 1mo agoLive Β· 1mo ago

aws/sagemaker-example-notebooks-testing

A continuous integration (CI) system for πŸ““ Jupyter notebooks, built using 🧠 Amazon SageMaker.

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Paper β†’ model β†’ repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it β€” so bad links are debuggable.

  • PossiblePossibly related (embedding) Β· 51%Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI β†’
  • PossiblePossibly related (embedding) Β· 50%Amazon SageMaker AI Async Inference now supports inline request payloads β†’
  • PossiblePossibly related (embedding) Β· 49%Monitoring discriminative ML models using Amazon SageMaker AI with MLflow β†’
  • PossiblePossibly related (embedding) Β· 48%Monitoring discriminative ML models using Amazon SageMaker AI with MLflow - Amazon Web Services (AWS) β†’
  • PossiblePossibly related (embedding) Β· 48%AWS Weekly Roundup: Claude Sonnet 5 on AWS, Amazon WorkSpaces for AI agents, AWS service availability updates, and more (July 6, 2026) β†’
  • PossiblePossibly related (embedding) Β· 59%How Jumio built a real-time feature store on AWS β†’
  • PossiblePossibly related (embedding) Β· 59%Monitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboards β†’
  • PossiblePossibly related (embedding) Β· 47%Google Cloud Workbench Notebooks Extension Connects VS Code to Google Cloud's Jupyter Notebooks - infoq.com β†’

Covers

newsStreaming benchmark and recommendation results to MLflow with Amazon SageMaker AInewsAmazon SageMaker AI Async Inference now supports inline request payloadsnewsMonitoring discriminative ML models using Amazon SageMaker AI with MLflownewsMonitoring discriminative ML models using Amazon SageMaker AI with MLflow - Amazon Web Services (AWS)newsAWS Weekly Roundup: Claude Sonnet 5 on AWS, Amazon WorkSpaces for AI agents, AWS service availability updates, and more (July 6, 2026)

Covers (incoming)

newsHow Jumio built a real-time feature store on AWSnewsMonitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboardsnewsGoogle Cloud Workbench Notebooks Extension Connects VS Code to Google Cloud's Jupyter Notebooks - infoq.comnewsAWS Puts SageMaker GPU Decisions Behind a Guided UI - techi.com

Related across the graph

newsMonitoring discriminative ML models using Amazon SageMaker AI with MLflownewsMonitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboardsnewsAWS Puts SageMaker GPU Decisions Behind a Guided UI - techi.comnewsAmazon SageMaker AI Async Inference now supports inline request payloadsnewsHow Jumio built a real-time feature store on AWSnewsAWS Weekly Roundup: Claude Sonnet 5 on AWS, Amazon WorkSpaces for AI agents, AWS service availability updates, and more (July 6, 2026)newsMonitoring discriminative ML models using Amazon SageMaker AI with MLflow - Amazon Web Services (AWS)newsStreaming benchmark and recommendation results to MLflow with Amazon SageMaker AInewsGoogle Cloud Workbench Notebooks Extension Connects VS Code to Google Cloud's Jupyter Notebooks - infoq.com
Knowledge path·NMonitoring discriminative ML models using Amazon SageMaker AI with MLflow→NMonitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboards→NAWS Puts SageMaker GPU Decisions Behind a Guided UI - techi.com→Raws/sagemaker-example-notebooks-testing

Topics

awscdkcicontinuous-integrationdeep-learningjupyter-notebookmachine-learningpythonsagemaker

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