Here is a collection of high-quality ONNX models for Windows ML
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Updated
Oct 25, 2018 - C#
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.
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.
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.
💹 Cognitive Services, ML, Machine Learning, Data Ingestion, Azure, Docker, Container, R, Python, C#, Java, Hadoop, Spark etc. This is also a Cognonic reference doc.
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 Samples
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 example using TinyYOLO
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