ashish-code/awscloud-ai-sandbox

Sandbox for end-to-end ML system experiments on AWS: SageMaker, Lambda, App Runner, ECR, S3. Production ML pipeline patterns with Terraform IaC.

/ 100

Experimental

No License No Package No Dependents

Maintenance 10 / 25

Adoption 0 / 25

Maturity 1 / 25

Community 0 / 25

Stars

—

Forks

—

Language

—

License

—

Category

Last pushed

Mar 05, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mlops/ashish-code/awscloud-ai-sandbox"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

aws-controllers-k8s/sagemaker-controller

ACK service controller for Amazon SageMaker

SuperCowPowers/workbench

Workbench: An easy to use Python API for creating and deploying AWS SageMaker Models

aws/aws-step-functions-data-science-sdk-python

Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS

aws-samples/amazon-sagemaker-mlops-workshop

MLOps workshop with Amazon SageMaker

aws/sagemaker-sparkml-serving-container

This code is used to build & run a Docker container for performing predictions against a Spark...