aws-solutions-library-samples
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guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker PublicDeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
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data-lakes-on-aws
data-lakes-on-aws PublicEnterprise-grade, production-hardened, serverless data lake on AWS
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fraud-detection-using-machine-learning
fraud-detection-using-machine-learning PublicSetup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
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guidance-for-media2cloud-on-aws
guidance-for-media2cloud-on-aws PublicGuidance for Media2Cloud on AWS solution (formerly known as AWS Media2Cloud Solution) is designed to demonstrate a serverless ingest framework that can quickly setup a baseline ingest workflow for …
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aws-ops-automator
aws-ops-automator Public archiveA solution for automated and scheduled execution of actions on selected AWS resources, including an updated EBS Snapshot Scheduler
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guidance-for-modernizing-electric-vehicle-charging-on-aws
guidance-for-modernizing-electric-vehicle-charging-on-aws PublicThis guidance demonstrates how the OCPP Gateway acts as a proxy between OCPP and MQTT, enabling integration with AWS IoT Core and downstream CPO services built on AWS.
Repositories
- guidance-for-game-analytics-pipeline-on-aws Public
The Game Analytics Pipeline solution helps game developers to apply a flexible, and scalable DataOps methodology to their games. Allowing them to continuously integrate, and continuously deploy a scalable serverless data pipeline for ingesting, storing, and analyzing telemetry data generated from games, and services.
aws-solutions-library-samples/guidance-for-game-analytics-pipeline-on-aws’s past year of commit activity - osml-cdk-constructs Public
aws-solutions-library-samples/osml-cdk-constructs’s past year of commit activity - guidance-for-datalake-with-sap-and-non-sap-data-on-aws Public
This Guidance demonstrates how to combine and consolidate SAP and non-SAP data from disparate sources using data lakes and machine learning services on AWS.
aws-solutions-library-samples/guidance-for-datalake-with-sap-and-non-sap-data-on-aws’s past year of commit activity - osml-model-runner Public
aws-solutions-library-samples/osml-model-runner’s past year of commit activity - guidance-for-machine-learning-inference-on-aws Public
This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance
aws-solutions-library-samples/guidance-for-machine-learning-inference-on-aws’s past year of commit activity - guidance-for-migrating-tabular-data-from-amazon-s3-to-s3-tables Public
This solution sets up an automated migration process for moving tables (Apache Iceberg and Hive tables) registered in AWS Glue Table Catalog and stored in Amazon S3 general-purpose buckets to Amazon S3 Table buckets using AWS Step Functions, and Amazon EMR with Apache Spark.
aws-solutions-library-samples/guidance-for-migrating-tabular-data-from-amazon-s3-to-s3-tables’s past year of commit activity - guidance-for-deploying-an-aws-deepracer-chatbot Public
This Guidance illustrates how to deploy and use the AWS DeepRacer Chatbot, an intelligent virtual assistant powered by multimodal generative AI and domain adaptation techniques.
aws-solutions-library-samples/guidance-for-deploying-an-aws-deepracer-chatbot’s past year of commit activity - guidance-for-developing-apple-ios-and-vision-pro-applications-with-unity-on-amazon-ec2 Public
This Guidance demonstrates how developers can build applications on mobile iOS and Apple Vision Pro in the AWS Cloud using Unity—a widely-used game engine and development platform where developers can create immersive 2D and 3D interactive experiences.
aws-solutions-library-samples/guidance-for-developing-apple-ios-and-vision-pro-applications-with-unity-on-amazon-ec2’s past year of commit activity - guidance-for-processing-overhead-imagery-on-aws Public
This Guidance demonstrates how to process remote sensing imagery using machine learning models that automatically detect and identify objects collected from satellites, unmanned aerial vehicles, and other remote sensing devices
aws-solutions-library-samples/guidance-for-processing-overhead-imagery-on-aws’s past year of commit activity
