redhat-na-ssa/demo-rosa-sagemaker
How to use ROSA with AWS sagemaker
This project helps operations and data science teams deploy and manage machine learning models that predict characteristics from inputs like fingerprints. It takes raw data, trains a model to recognize patterns, and then makes that model available for real-time predictions or batch processing. Data scientists use it to train models on AWS SageMaker, while operations engineers can serve and monitor these models on Red Hat OpenShift.
No commits in the last 6 months.
Use this if your organization needs a flexible and standardized way to train machine learning models using AWS SageMaker and then deploy them for inference on a Red Hat OpenShift container platform.
Not ideal if you are looking for a pre-built, ready-to-use application for fingerprint analysis, as this project demonstrates the infrastructure and workflow for model deployment rather than providing a finished end-user solution.
Stars
12
Forks
10
Language
Shell
License
—
Category
Last pushed
Nov 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/redhat-na-ssa/demo-rosa-sagemaker"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning...
aws-samples/aws-ml-enablement-workshop
組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ
aws/sagemaker-xgboost-container
This is the Docker container based on open source framework XGBoost...
aws/sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.