aws-samples / amazon-sagemaker-build-train-deployLinks
Scale complete ML development with Amazon SageMaker Studio
☆186Updated last year
Alternatives and similar repositories for amazon-sagemaker-build-train-deploy
Users that are interested in amazon-sagemaker-build-train-deploy are comparing it to the libraries listed below
Sorting:
- This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize develope…☆232Updated 2 months ago
- ☆138Updated last week
- ☆317Updated 3 weeks ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆327Updated 2 years ago
- Amazon SageMaker Local Mode Examples☆263Updated 9 months ago
- MLOps workshop with Amazon SageMaker☆112Updated 10 months ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆154Updated this week
- A curated list of references for Amazon SageMaker☆176Updated 2 years ago
- MLOps example using Amazon SageMaker Pipeline and GitHub Actions☆88Updated 7 months ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated last week
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆154Updated 3 weeks ago
- ☆144Updated 3 years ago
- Hands-on end-to-end workshop to explore Amazon SageMaker.☆62Updated 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…☆144Updated this week
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆332Updated 4 years ago
- ☆475Updated this week
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆45Updated 4 years ago
- 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
- ☆88Updated 3 years ago
- ☆34Updated last year
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆135Updated 2 years ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆534Updated 3 weeks ago
- End to end Machine Learning with Amazon SageMaker☆42Updated last year
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 5 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- ☆43Updated 2 weeks ago
- ☆88Updated last year