microsoft/Windows-Machine-Learning

Health v2 · maintenance only

Adoption not part of the score

1123 stars · 442 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Microsoft's Windows Machine Learning samples and tools repository, providing a high-performance ONNX inference API powered by ONNX Runtime and DirectML for Windows apps. It includes model samples, the WinmlRunner tool, and WinML Dashboard, though the legacy Windows.AI.MachineLearning namespace is superseded by the Windows App SDK APIs.

Use cases

• run onnx models on windows with gpu acceleration
• integrate machine learning inference into a windows app
• test onnx model performance on windows hardware
• convert tensorflow or pytorch models for windows ml
• learn windows ml api through samples

When to choose

• you need low-latency on-device inference in a Windows C++/C# application
• you want DirectML hardware acceleration across CPU, GPU, and NPU
• you need sample code and tooling for the Windows ML API

When to avoid

• you target cross-platform deployment beyond Windows
• you want the newest Windows AI APIs, which live in the Windows App SDK instead
• you need training rather than inference

Facets

library · maturity maintenance

machine-learning llm-inference gpu-computing sdk developer-tools machine-learning deep-learning windows developer-tools windows cpp c python onnx directml winml inference samples nuget windows-runtime

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markdown · JSON · MCP: product_card(name="microsoft/Windows-Machine-Learning")