R Interface to 'ONNX'

R Interface to 'ONNX' - Open Neural Network Exchange < https://onnx.ai/>. 'ONNX' provides an open source format for machine learning models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.


This is the R Interface to Open Neural Network Exchange (ONNX). 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.

Please visit here for tutorials and API reference for using ONNX in R.

Reference manual

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install.packages("onnx")

0.0.3 by Yuan Tang, 5 years ago


https://github.com/onnx/onnx-r


Report a bug at https://github.com/onnx/onnx-r/issues


Browse source code at https://github.com/cran/onnx


Authors: Yuan Tang [aut, cre] , ONNX Authors [aut, cph] , Facebook , Inc. [cph] , Microsoft Corporation [cph]


Documentation:   PDF Manual  


MIT License + file LICENSE license


Imports reticulate

Suggests testthat, knitr, rmarkdown


See at CRAN