aws-samples / amazon-sagemaker-safe-deployment-pipelineLinks
Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
☆105Updated 3 years ago
Alternatives and similar repositories for amazon-sagemaker-safe-deployment-pipeline
Users that are interested in amazon-sagemaker-safe-deployment-pipeline are comparing it to the libraries listed below
Sorting:
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆327Updated 2 years ago
- ☆144Updated 3 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 7 months ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆45Updated 4 years ago
- This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize develope…☆232Updated 2 months ago
- ☆138Updated last year
- Amazon SageMaker Local Mode Examples☆263Updated 9 months ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated 2 years ago
- ☆88Updated 3 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆332Updated 4 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated this week
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated 2 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆58Updated 3 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 5 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆144Updated this week
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆154Updated this week
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆293Updated 9 months ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆69Updated last year
- MLOps workshop with Amazon SageMaker☆112Updated 10 months ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆428Updated last year
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆74Updated last year
- ☆33Updated last year
- A curated list of references for Amazon SageMaker☆176Updated 2 years ago
- Scale complete ML development with Amazon SageMaker Studio☆187Updated last year
- A serverless framework for continuous machine learning pipeline automation☆14Updated 5 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆134Updated 2 years ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 4 years ago