aws-samples / serverless-machine-learning-on-aws
Deploy Machine Learning Models as Serverless APIs
☆18Updated last year
Alternatives and similar repositories for serverless-machine-learning-on-aws:
Users that are interested in serverless-machine-learning-on-aws are comparing it to the libraries listed below
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆58Updated last year
- ☆25Updated 4 years ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- ☆33Updated 11 months ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated last year
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆57Updated 4 years ago
- Amazon SageMaker Best Practices, published by Packt☆28Updated 2 years ago
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- Operational Data Processing Framework developed using AWS Glue and Apache Hudi. This framework is suitable for Data Lake and Modern Data …☆21Updated last year
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆62Updated 6 years ago
- Serverless Analytics with Amazon Athena, published by packt☆25Updated last year
- CD4AutoML: Continuous Delivery for AutoML with Amazon SageMaker Autopilot and Amazon Step Functions☆13Updated 4 years ago
- Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to p…☆34Updated 7 months 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
- Deploy a functional, end-to-end example of training a machine learning model from IoT data☆13Updated 3 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- Deliver Pinpoint Campaigns Driven by Machine Learning on AWS SageMaker☆18Updated 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…☆26Updated 5 years ago
- ☆88Updated 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
- Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC☆15Updated 4 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆43Updated 3 years ago
- ☆13Updated 6 months 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…☆69Updated 8 months ago
- This Guidance demonstrates how you can extend the data governance capabilities of Amazon DataZone to other Java Database Connectivity (JD…☆12Updated 4 months ago
- ☆26Updated last year
- ☆18Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- ☆22Updated 4 years ago