Ratnesh-181998/Production-Ready-MLOps-Pipelines
Production-grade MLOps pipelines with real-world ML and NLP projects.Covers MLflow, DVC, Docker,Airflow,GitHub Actions, AWS SageMaker, HuggingFace, and monitoring with Grafana and PostgreSQL. Model development CI/CD pipelines,experiment tracking,data versioning,workflow orchestration,cloud deployment,and monitoring using modern MLOps tools and AWS.
Stars
1
Forks
—
Language
—
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/Ratnesh-181998/Production-Ready-MLOps-Pipelines"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kserve/kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable,...
omegaml/omegaml
MLOps simplified. One-stop AI delivery platform, all the features you need.
awslabs/aiops-modules
AIOps modules is a collection of reusable Infrastructure as Code (IaC) modules for Machine...
GoogleCloudDataproc/dataproc-ml-python
Library to simplify running distributed ML workloads with Apache Spark
jina-ai/serve
☁️ Build multimodal AI applications with cloud-native stack