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  1. guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker Public

    DeepRacer 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

    Jupyter Notebook 1.2k 714

  2. fraud-detection-using-machine-learning fraud-detection-using-machine-learning Public

    Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

    Jupyter Notebook 300 156

  3. guidance-for-media2cloud-on-aws guidance-for-media2cloud-on-aws Public

    Guidance 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 …

    JavaScript 117 64

  4. aws-ops-automator aws-ops-automator Public archive

    A solution for automated and scheduled execution of actions on selected AWS resources, including an updated EBS Snapshot Scheduler

    Python 101 47

  5. guidance-for-modernizing-electric-vehicle-charging-on-aws guidance-for-modernizing-electric-vehicle-charging-on-aws Public

    This 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.

    TypeScript 79 30

  6. aws-batch-arch-for-protein-folding aws-batch-arch-for-protein-folding Public

    Python 72 28

Repositories

Showing 10 of 197 repositories
  • guidance-for-carbon-data-lake-on-aws Public

    This Guidance, with the sample code, can be used to deploy a carbon data lake to the AWS Cloud using an AWS Cloud Development Kit (AWS CDK)

    aws-solutions-library-samples/guidance-for-carbon-data-lake-on-aws’s past year of commit activity
    Jupyter Notebook 21 Apache-2.0 14 3 4 Updated Jan 8, 2025
  • 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
    JavaScript 14 MIT-0 19 1 6 Updated Jan 7, 2025
  • guidance-for-multimodal-data-processing-using-amazon-bedrock-data-automation Public

    This Guidance shows how Amazon Bedrock Data Automation streamlines the generation of valuable insights from unstructured multimodal content such as documents, images, audio, and videos through a unified multi-modal inference API.

    aws-solutions-library-samples/guidance-for-multimodal-data-processing-using-amazon-bedrock-data-automation’s past year of commit activity
    Python 11 MIT-0 2 2 4 Updated Jan 7, 2025
  • aws-solutions-library-samples/osml-model-runner-test’s past year of commit activity
    Python 2 MIT-0 0 0 1 Updated Jan 6, 2025
  • 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
    Python 1 MIT-0 0 0 0 Updated Dec 30, 2024
  • 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
    TypeScript 14 MIT-0 2 0 0 Updated Dec 26, 2024
  • guidance-for-automated-geospatial-insights-engine-on-aws Public

    This Guidance shows how build an automated geospatial insights engine on AWS to improve supply and demand forecasting and risk management

    aws-solutions-library-samples/guidance-for-automated-geospatial-insights-engine-on-aws’s past year of commit activity
    TypeScript 5 MIT-0 3 2 6 Updated Dec 24, 2024
  • 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
    Python 6 MIT-0 1 0 0 Updated Dec 23, 2024
  • aws-solutions-library-samples/osml-imagery-toolkit’s past year of commit activity
    Python 14 MIT-0 0 0 0 Updated Dec 22, 2024
  • aws-solutions-library-samples/osml-model-runner’s past year of commit activity
    Python 7 MIT-0 1 1 0 Updated Dec 21, 2024