Tool profile
onnx/onnx
github.com
Open standard and format for representing and exchanging machine learning models across frameworks.
What it does
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.
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FAQ
Frequently asked questions
- 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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