🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.

A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀

MLOps for deploying a Credit Risk model

A simple app to help you find relevant machine learning papers to read.

An end to end ML project. Using MLflow for experiment tracking and model registry. Prefect for workflow orchestration. S3 for artifacts storage. AWS Lambda/ ECR for serverless model serving. AWS REST API gateway as endpoint to lambda function. GitHub Actions for CI/CD.

Hopsworks Machine Learning Api 🚀 Model management with a model registry and model serving

Part of the Hydrosphere.io project.

Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.

Experiment tracking and model registry in the images segmentation project

Built an E2E MLFlow Pipeline & hosted on AWS.

Experiment tracking and model registry in the NLP project

Basic MLPlatform includes Model Registry and Inference Server

This project is part of the CPE393 coursework on the topic of the MLOps final project.

Logo Recognition App MLOps

Custom versioning of Machine Learning models

Successfully developed a machine learning model to predict Airline Passenger Satisfaction by building an end-to-end MLOps pipeline. It integrates DVC for data versioning, a Dockerfile for containerization, and CI/CD using GitHub Actions for automated deployment.

To be used for Studio test cases only.

Model Registry is the service that exposes API to save, fetch and delete machine learning models