olilarkin/ort-builder

ONNX Runtime static library builder

46
/ 100
Emerging

This project helps C++ developers integrate ONNX machine learning models into their applications, especially for Apple platforms. It takes an ONNX model file and outputs a highly optimized, 'slimmed-down' ONNX Runtime static library or an xcframework, along with C++ source code to embed the model directly. This is ideal for developers building applications where a minimal footprint and fast inference are critical.

No commits in the last 6 months.

Use this if you are a C++ developer building an application for Apple platforms (macOS, iOS) and need to embed an ONNX model efficiently, reducing the size of the inference engine.

Not ideal if you are developing an audio plugin for a Digital Audio Workstation (DAW) and are concerned about potential symbol conflicts with the host application.

C++ development machine learning deployment embedded inference Apple development application optimization
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

74

Forks

19

Language

C++

License

MIT

Last pushed

Apr 22, 2025

Commits (30d)

0

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