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end-to-end-transformers
end-to-end Transformers workflow with Amazon SageMakeramazon-sagemaker-pipelines-serverless-inference
Deploying a serverless inference service with Amazon SageMaker Pipelines, AWS Lambda, Amazon API Gateway, and CDKamazon-sagemaker-github-actions-mlflow
5 Simple Steps to MLOps with GitHub Actions, MLflow, and SageMaker Pipelinesamazon-sagemaker-pipelines-mlflow
Step-by-step guide to using MLflow in a SageMaker MLOps projectamazon-ecs-nvidia-triton-cdk
Step-by-step guide to Triton deployment on ECS using CDKaws-lambda-r-inference
Deploying a Serverless R Inference Service Using AWS Lambda, Amazon API Gateway, and the AWS CDKamazon-sagemaker-studio-image-pipeline
Step-by-step guide to continuous delivery of Custom Images in a Studio domainamazon-sagemaker-notebook-instance-lifecycle-config-theia
Install the Theia IDE on Amazon SageMaker Notebook Instances using a Lifecycle Configurationaws-service-catalog-sagemaker-studio
Enabling self-service provisioning of Amazon SageMaker Studio resourcesaws-lambda-shutdown-studio-kernel
Shutting down Amazon SageMaker Studio Apps on a scheduled basis with Amazon EventBridge, AWS Lambda, and Boto3amazon-sagemaker-abalone-experiments
amazon-sagemaker-studio-nvidia-merlin
amazon-sagemaker-studio-terraform-examples
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