aws-samples / mlops-e2e
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
☆138Updated last week
Alternatives and similar repositories for mlops-e2e:
Users that are interested in mlops-e2e are comparing it to the libraries listed below
- MLOps workshop with Amazon SageMaker☆97Updated 5 months ago
- MLOps example using Amazon SageMaker Pipeline and GitHub Actions☆71Updated 9 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆308Updated last year
- ☆131Updated 9 months ago
- ☆29Updated last month
- MLOps on AWS using Amazon SageMaker Pipelines☆28Updated last year
- ☆33Updated 11 months ago
- A curated list of references for Amazon SageMaker☆164Updated last year
- ☆35Updated last week
- ☆88Updated 2 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆58Updated last year
- Amazon SageMaker Local Mode Examples☆252Updated last week
- ☆221Updated 6 months ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- End to end Machine Learning with Amazon SageMaker☆42Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆150Updated 2 months ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆149Updated 2 months ago
- Hands-on demonstrations for data scientists exploring Amazon SageMaker☆77Updated 7 months ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆43Updated 3 years ago
- ☆139Updated 10 months ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆69Updated 8 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆133Updated last month
- Scale complete ML development with Amazon SageMaker Studio☆151Updated 3 months ago
- ☆145Updated 2 years ago
- Some crazy experiments☆32Updated last week
- ☆84Updated 9 months ago
- Secure and scalable MLOps platform on AWS using Terraform.☆38Updated 3 months ago
- ☆31Updated 7 months ago
- ☆51Updated 10 months ago