Tool profile

onnx/onnx

github.com

Open standard and format for representing and exchanging machine learning models across frameworks.

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PublishedOct 23, 2026
PricingOpen source

What it does

onnx/onnx

github.com

ONNX defines an open source format and extensible computation graph model for deep learning and traditional ML models, with built-in operators and standard data types focused on inference. It is aimed at AI developers who want interoperability between frameworks and a smoother path from research to production. The project is open source under Apache-2.0 and offers a Python package.

PricingOpen source
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githubopen-sourceaideep-learningmachine-learningartificial-intelligencemlkerasdeep-neural-networksdnn

FAQ

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What is onnx/onnx?
ONNX defines an open source format and extensible computation graph model for deep learning and traditional ML models, with built-in operators and standard data types focused on inference. It is aimed at AI developers who want interoperability between frameworks and a smoother path from research to production. The project is open source under Apache-2.0 and offers a Python package.
How much does onnx/onnx cost?
onnx/onnx uses a Open source pricing model. Check the official website for current plans.
What is onnx/onnx used for?
onnx/onnx is listed on TolsAI under: Open Source.
Where can I use onnx/onnx?
onnx/onnx is available on its official website, github.com.

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