🌀 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

Auto-updating catalog of AI models. Available as an HTTP API server, CLI tool and/or Golang package.

Experiment tracking and model registry in the NLP project

An end-to-end MLOps pipeline for emotion detection. Features data versioning with DVC + AWS S3, model training and evaluation with MLflow, CI/CD via GitHub Actions, FastAPI serving, Docker containerization, AWS EC2 deployment, and experiment tracking on DagsHub.

Built an E2E MLFlow Pipeline & hosted on AWS.

Simple and secure model registry for storing, versioning, and serving ML models using S3 and MongoDB.

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

📦Customer Satisfaction Forecasting 🔍Order Analytics 🧠ML Pipeline ⚙️ZenML & MLflow 🌐Streamlit

Explore a comprehensive registry of AI models from leading providers. Find the perfect AI model for your project with detailed information, comparisons, and provider details.

🛠️ Enterprise ML infrastructure and deployment tools. Comprehensive suite for ML lifecycle management with focus on GPU cluster optimization. 📊