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GitHub · microsoft/onnxruntime

Platform that accelerates artificial intelligence models

ONNX Runtime is a cross-platform high-performance accelerator for machine learning inference and training.

Updates

  • October 9, 2026: Stars 21,821 → 22,039, latest release v1.31.0 (October 9, 2026).
  • September 11, 2026: Stars 21,808 → 21,821, latest release v1.30.0 (September 10, 2026).
  • September 10, 2026: Stars 21,495 → 21,808, latest release v1.29.1 (September 10, 2026).
  • August 22, 2026: Stars 21,492 → 21,495, latest release v1.29.0 (August 12, 2026).

What you get

  • Increases the running speed of machine learning models
  • Works compatible with different hardware and operating systems
  • Supports popular libraries such as PyTorch and TensorFlow

Getting started

You can access usage documents and training guides by visiting the official website, onnxruntime.ai. You can integrate it into your projects by examining the sample code repositories prepared for inference or model training processes according to your needs.

Related dictionary terms

Who it is forIt is for developers who want to run machine learning models faster and more efficiently on different hardware.
LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-08-22: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.