aws-samples / amazon-sagemaker-ab-testing-pipelineLinks
Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.
☆45Updated 4 years ago
Alternatives and similar repositories for amazon-sagemaker-ab-testing-pipeline
Users that are interested in amazon-sagemaker-ab-testing-pipeline are comparing it to the libraries listed below
Sorting:
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- ☆138Updated last week
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 8 months ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆64Updated 2 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆98Updated 2 years ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆154Updated this week
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆327Updated 2 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated 2 weeks ago
- MLOps workshop with Amazon SageMaker☆112Updated 10 months ago
- This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize develope…☆232Updated 2 months ago
- Amazon SageMaker Local Mode Examples☆263Updated 9 months ago
- ☆88Updated 3 years 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
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- ☆144Updated 3 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆154Updated 3 weeks ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆144Updated last week
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated 2 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 5 years 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
- End to end Machine Learning with Amazon SageMaker☆42Updated last year
- ☆96Updated 4 years ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆144Updated 2 years ago
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 4 years ago
- ☆34Updated last year
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆135Updated 2 years ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆70Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆58Updated 3 years ago
- SageMaker Load Testing using Locust☆27Updated 4 years ago