A curated collection of hands-on guides, tutorials, and reference implementations for Machine Learning Operations (MLOps) — covering topics like observability, model deployment, monitoring, automation, scalable architecture, AI Governance and scalable infrastructure.
Whether you're an MLOps engineer, data scientist, or AI enthusiast, this repo is designed to help you build, ship, and manage ML systems in production.
Created by Himadri Talukder If you find this helpful, please ⭐ the repo and share it with your MLOps community!