aws-samples / sagemaker-studio-auto-shutdown-extension
☆145Updated last year
Alternatives and similar repositories for sagemaker-studio-auto-shutdown-extension:
Users that are interested in sagemaker-studio-auto-shutdown-extension are comparing it to the libraries listed below
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- ☆83Updated 8 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆128Updated last year
- Amazon SageMaker Local Mode Examples☆251Updated 5 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆130Updated 3 weeks ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆142Updated last year
- ☆220Updated 5 months ago
- A curated list of references for Amazon SageMaker☆161Updated last year
- ☆131Updated 8 months ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated 9 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆148Updated last month
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- ☆87Updated 2 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆174Updated 3 weeks ago
- MLOps workshop with Amazon SageMaker☆95Updated 3 months ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆149Updated last month
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆70Updated last year
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆22Updated 4 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆42Updated 3 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆290Updated last year
- This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Ser…☆46Updated 5 months ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆48Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆133Updated last month
- Build and automatize the management of your Sagemaker Studio Users using AWS CDK!☆21Updated 2 years ago
- ☆32Updated 10 months ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆304Updated last year
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆422Updated 9 months ago
- ☆27Updated 3 weeks ago