aws-samples / amazon-sagemaker-cloudformation-custom-resource
Deploy Amazon SageMaker notebook using CloudFormation custom resource
☆18Updated 7 years ago
Alternatives and similar repositories for amazon-sagemaker-cloudformation-custom-resource
Users that are interested in amazon-sagemaker-cloudformation-custom-resource are comparing it to the libraries listed below
Sorting:
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- A self-paced workshop designed to allow you to get hands on with building a real-time data platform using serverless technologies such as…☆22Updated 6 years ago
- 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)☆72Updated last year
- Collection of Cloud Formation Templates, Lambda Scripts and sample code required to provision an AWS Data Lake for a ReInvent Lab Exercis…☆25Updated 6 years ago
- Samples and documentation for various advertising and marketing use cases on AWS.☆35Updated last year
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 6 years ago
- Sample data conversion pipeline for importing data into Amazon Personalize.☆19Updated 6 years ago
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S…☆165Updated 5 years ago
- Model assisted dataset preparation for Amazon Rekognition Custom Labels.☆21Updated 4 years ago
- This solution combines Amazon Pinpoint with Amazon SageMaker to help automate the process of collecting customer data, predicting custom…☆17Updated 4 years ago
- Design best practices for building scalable ETL (Extract-Transform-Load) and ELT (Extract-Load-Transform) data processing pipelines using…☆17Updated 5 years ago
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Updated 2 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…☆71Updated 11 months ago
- A serverless framework for continuous machine learning pipeline automation☆14Updated 4 years ago
- ☆14Updated 5 months ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 3 years ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated last year
- Open innovation with 60 minute cloud experiments on AWS☆88Updated last year
- AI_ML_Workshops☆52Updated 4 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- The objective of Cloud Builders' Day repository is to provide do-it-yourself lab guides for several AWS services including but not limite…☆11Updated 4 years ago
- ☆52Updated 7 years ago
- Supporting code, Dockerfile, and Jupyter notebook for an end to end tutorial on Amazon SageMaker and EMR.☆27Updated 5 years ago
- This GitHub project provides a series of lab exercises which help users get started using the Redshift platform.☆53Updated 4 years ago
- ☆52Updated 6 years ago