adma224/ml-inference-pipeline-aws
A production-ready, serverless machine learning inference pipeline built using AWS CDK, Lambda, API Gateway, and SageMaker, with full CI/CD automation via GitHub Actions. Built to demonstrate mid-level AWS and MLOps engineering skills.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/adma224/ml-inference-pipeline-aws"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
awslabs/awsome-distributed-training
Collection of best practices, reference architectures, model training examples and utilities to...
anveshmuppeda/aws
AWS Hands-On Labs Repository
aws-samples/sample-on-demand-workflow-orchestrator
Build a dynamic workflow orchestration engine with Amazon DynamoDB and AWS Lambda
ukairia777/aws-bedrock-tutorial
Develop an AI application utilizing Streamlit, AWS's Bedrock, and Anthropic's Claude2 model.
aws-samples/sample-cross-partition-inference
Enable Amazon Bedrock inference across AWS partitions — securely access commercial-region AI...