aws-samples / amazon-sagemaker-aws-greengrass-custom-object-detection-model
End to end code samples for training an object detection model in Amazon SageMaker using the built-in SSD algorithm and running it on AWS IoT Greengrass.
☆39Updated 4 years ago
Alternatives and similar repositories for amazon-sagemaker-aws-greengrass-custom-object-detection-model:
Users that are interested in amazon-sagemaker-aws-greengrass-custom-object-detection-model are comparing it to the libraries listed below
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- ☆22Updated 6 months ago
- Amazon SageMaker Edge Manager Workshop☆36Updated 2 years ago
- This repository has samples that demonstrate various aspects of AWS Panorama device and the Panorama SDK☆82Updated 3 months ago
- 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
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated last year
- Model assisted dataset preparation for Amazon Rekognition Custom Labels.☆21Updated 3 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- A serverless framework for continuous machine learning pipeline automation☆14Updated 4 years ago
- Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker☆46Updated last year
- AI_ML_Workshops☆52Updated 4 years ago
- ☆39Updated 5 months ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated 10 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆150Updated 2 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Hands-on lab from ML model training to model compilation to edge device model deployment on the AWS Cloud. It covers the detailed method …☆16Updated last year
- Open innovation with 60 minute cloud experiments on AWS☆87Updated 9 months ago
- ☆73Updated last year
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 2 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- ☆33Updated 11 months ago
- ☆145Updated 2 years ago
- ☆28Updated 3 years ago
- Repository for AWS Glue Workshop☆31Updated 2 years ago
- ☆88Updated 2 years ago
- This solution helps you deploy Data Lake Infrastructure on AWS using CDK Pipelines.☆94Updated 2 years ago
- This code repository contains code assets of "Generative AI Large Language Model Workshop for Financial Services" workshop☆19Updated last year
- AWS IOT Analytics Workshop☆44Updated 4 years ago
- Deployable solutions for AWS IoT Greengrass for common design patterns, or to address specific use-cases.☆70Updated 6 months ago
- ☆26Updated last year