aws-samples / sagemaker-studio-image-build-cli
CLI for building Docker images in SageMaker Studio using AWS CodeBuild.
☆56Updated 2 years ago
Alternatives and similar repositories for sagemaker-studio-image-build-cli:
Users that are interested in sagemaker-studio-image-build-cli are comparing it to the libraries listed below
- ☆145Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆130Updated 3 weeks ago
- ☆131Updated 8 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆42Updated 3 years ago
- ☆87Updated 2 years ago
- ☆83Updated 8 months ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆70Updated last year
- ☆25Updated last year
- ☆32Updated 10 months ago
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 4 years ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated 9 months ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆128Updated 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…☆68Updated 7 months ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆48Updated last year
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆58Updated last year
- A curated list of references for Amazon SageMaker☆161Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆133Updated last month
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆136Updated 3 months ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆22Updated 4 years ago
- Hosting code-server on Amazon SageMaker☆53Updated last year
- Amazon SageMaker Local Mode Examples☆251Updated 5 months ago
- ☆220Updated 5 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆148Updated last month
- This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Ser…☆46Updated 5 months ago
- ☆28Updated 8 months ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆149Updated last month
- The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.☆37Updated 5 months ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆174Updated 3 weeks ago