giuseppeporcelli / end-to-end-ml-smLinks
End to end Machine Learning with Amazon SageMaker
☆42Updated last year
Alternatives and similar repositories for end-to-end-ml-sm
Users that are interested in end-to-end-ml-sm are comparing it to the libraries listed below
Sorting:
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆147Updated 5 months ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆62Updated last year
- Learn Amazon SageMaker☆106Updated last month
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago
- ☆136Updated last year
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆99Updated 4 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆321Updated 2 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated 2 weeks ago
- A curated list of references for Amazon SageMaker☆173Updated last year
- ☆33Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated last year
- MLOps workshop with Amazon SageMaker☆110Updated 6 months ago
- ☆89Updated 2 years ago
- Amazon SageMaker Local Mode Examples☆260Updated 5 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 3 months ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- ☆34Updated 9 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…☆74Updated last year
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆144Updated 2 years ago
- ☆230Updated last year
- Scale complete ML development with Amazon SageMaker Studio☆182Updated 11 months ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- ☆145Updated 2 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
- Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to p…☆36Updated last year
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆72Updated 6 months ago
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- ☆44Updated 2 months ago
- MLOps example using Amazon SageMaker Pipeline and GitHub Actions☆86Updated 3 months ago