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  1. ONNX | Home

    ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a …

  2. Open Neural Network Exchange - Wikipedia

    ONNX was originally named Toffee [4] and was developed by the PyTorch team at Facebook. [5] In September 2017 it was renamed to ONNX and announced by Facebook and Microsoft. [6]

  3. GitHub - onnx/onnx: Open standard for machine learning …

    Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI …

  4. What every ML/AI developer should know about ONNX

    Sep 25, 2024 · ONNX is a powerful and open standard for preventing framework lock-in and ensuring that you the models you develop will be usable in the long run.

  5. onnx · PyPI

    Dec 1, 2025 · Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source …

  6. ONNX Runtime | Home

    ONNX Runtime has you covered with support for many languages. And it runs on Linux, Windows, Mac, iOS, Android, and even in web browsers. CPU, GPU, NPU - no matter what …

  7. ONNX Tutorial

    ONNX (Open Neural Network Exchange) is an open-source format designed to represent machine learning models, allowing them to be transferred seamlessly between different …

  8. What is ONNX, and why is it used? - milvus.io

    ONNX (Open Neural Network Exchange) is an open-source format designed to represent machine learning models in a standardized way. It allows models trained in one framework, …

  9. ONNX Runtime and Models - Azure Machine Learning

    Oct 13, 2025 · Microsoft and a community of partners created ONNX as an open standard for representing machine learning models. You can export or convert models from many …

  10. ONNX - AI at Meta

    ONNX is an open format for representing deep learning models, allowing AI developers to easily move models between state-of-the-art tools and choose the best combination.