Explore live open-source projects and AI models.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

A library for training and deploying machine learning models on Amazon SageMaker

ModelFox makes it easy to train, deploy, and monitor machine learning models.

Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

Code for the online course "Deployment of Machine Learning Models"

Machine Learning Model Deployment Made Simple

A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.

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