aws-samples / amazon-sagemaker-architecting-for-ml-hcls
An AWS workshop to teach concepts about machine learning and cloud architecture within health care and life sciences
☆13Updated 2 years ago
Alternatives and similar repositories for amazon-sagemaker-architecting-for-ml-hcls:
Users that are interested in amazon-sagemaker-architecting-for-ml-hcls are comparing it to the libraries listed below
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- Samples and documentation for various advertising and marketing use cases on AWS.☆35Updated last year
- Materials for a 2-day instructor led course on applying machine learning☆201Updated 4 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆57Updated 4 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 3 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆96Updated last year
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- Deploy a functional, end-to-end example of training a machine learning model from IoT data☆13Updated 4 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 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
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- AWS CloudFormation and SAM templates for machine learning inference with AWS Lambda.☆19Updated 4 years ago
- AWS Workshop for learning Amazon Sagemaker☆12Updated 3 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 10 months ago
- ☆25Updated last year
- A serverless framework for continuous machine learning pipeline automation☆14Updated 4 years ago
- AI_ML_Workshops☆52Updated 4 years ago
- The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting☆57Updated 10 months ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆60Updated last year
- Learn Amazon SageMaker☆105Updated 2 years ago
- 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
- 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
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Ser…☆46Updated 8 months ago
- A sample set of notebooks demonstrating Amazon Comprehend capabilities.☆45Updated last year
- 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
- End to end Machine Learning with Amazon SageMaker☆42Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago