Here is a collection of high-quality ONNX models for Windows ML

Official repo for Windows ML - Microsoft's high-performance local AI inferencing framework for Windows.

Demo covering local AI model inference on Windows using Windows ML — converting Hugging Face models with Windows ML CLI, running via ONNX Runtime Web and WebNN, accelerated on CPU, GPU, and NPU. From Microsoft Build 2026.

Demos and sample code for building AI-powered apps with local on-device models on Windows — using Windows AI APIs, Foundry Local, Windows ML, and WebNN. From Microsoft Build 2026.

💹 Cognitive Services, ML, Machine Learning, Data Ingestion, Azure, Docker, Container, R, Python, C#, Java, Hadoop, Spark etc. This is also a Cognonic reference doc.

WinUI 3 desktop sample that benchmarks ONNX model inference across CPU, GPU, and NPU execution providers using the new Windows ML API. Includes two scenarios: image classification with ResNet-50 and text similarity / semantic search with all-MiniLM-L6-v2.

Windows Machine Learning Samples

Demo resources for building Windows apps by iterating with agents, then adding production integrations — Windows App SDK, Windows ML, Windows AI APIs, and Foundry Local. From Microsoft Build 2026.

Windows Machine Learning example using TinyYOLO