vinodbavage31/MachineLearning-Workflow-system
Production-ready ML pipeline template with modular architecture, MLflow tracking, and industry best practices. Educational resource for building scalable machine learning systems.
Stars
3
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/vinodbavage31/MachineLearning-Workflow-system"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
crate/mlflow-cratedb
MLflow adapter for CrateDB.
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
mrdbourke/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real...
clemens33/mlflow
mlflow container setup for docker, docker compose and kubernetes including helm chart