Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

A comprehensive resource hub for mastering web development, covering everything from fundamental concepts to advanced topics and project-based learning. This also includes my notes on various other bonus sections offered alongside the course such as the MLops section, native android development section and DSA classes all in one. Follow for more😁✨

MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations

This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize developer environments for data scientists and CI/CD systems for MLOps engineers.

🎲 A curated list of MLOps projects, tools and resources

No description available

If you are a beginner who is interested in learning MLOps, This repository is what you are looking for.

mlops-projects-course

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

[DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template

ForML - A development framework and MLOps platform for the lifecycle management of data science projects

Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

No description available

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

The repository contains a list of projects which I will work on while learning and implementing MLOps.

MLOps - Deploy models at scale, Generative AI - Build applications with LLMs, NLP - Understand Transformers & Text Generation Models, Computer Vision - Build GANs projects like Deepfakes, ML System Design, hands-on project building and code algorithms from scratch.

An MLOps Project for the ZenML Month of MLOps Competition

The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.

A simple yet complete guide to MLOps tools and practices - from a conventional way to a modern approach of working with ML projects.

This project serves as a hands-on introduction to essential MLOps tools

Realtime MLOps Implementation using DVC, Docker, GitHub Actions, Kubernetes, KServe and Argo CD.

An end-to-end machine learning (mlops) project

This is the first project of our mlops series.

Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper

Sample Project for an MLOps 101 course I taught

A Tiny Intent Classifier model for short customer-support style text. Given an input text (e.g., "Hi, I need help with my bill"), the model returns one of: `greeting` - `question` - `complaint` - `praise` - `other`.

MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineering

This is the code repository for the AI project template. The idea of this template is to have a code framework prepared for any AI/ML/MLOps/LLMOps project

End-to-end Vehicle Insurance Domain project implementing MLOps. Includes data ingestion, validation, transformation, model training, and deployment with CI/CD pipelines, Docker, and modular project structure. Features Flask app integration, reproducible workflows, and scalable ML lifecycle management.