onnx/onnx

[](https://pypi.org/project/onnx) [](https://github.com/onnx/onnx/actions/workflows/main.yml) [](https://bestpractices.coreinfrastructure.org/projects/3313) [](https://api.securityscorecards.dev/projects/github.com/onnx/onnx) [](https://slsa.dev) [](https://api.reuse.software/info/github.com/onnx/onnx) [](https://github.com/astral-sh/ruff) [](https://docs.python.org/3/c-api/stable.html) 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 models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Currently we focus on the capabilities needed for inferencing (scoring). ONNX is widely supported and can be found in many frameworks, tools, and hardware. Enabling interoperability between different frameworks and streamlining the path from research to production helps increase the speed of innovation in the AI community. We invite the community to join us and further evolve ONNX. ONNX is a community project and the open governance model is described here. We encourage you to join the effort and contribute feedback, ideas, and code. You can participate…