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.
Version: 0.0.3 Depends: R (≥ 3.1) Imports: reticulate (≥ 1.4) Suggests: testthat, knitr, rmarkdown Published: 2021-04-16 DOI: 10.32614/CRAN.package.onnx Author: Yuan Tang [aut, cre], ONNX Authors [aut, cph], Facebook, Inc. [cph], Microsoft Corporation [cph] Maintainer: Yuan Tang <terrytangyuan at gmail.com> BugReports: https://github.com/onnx/onnx-r/issues License: MIT License + file LICENSE URL: https://github.com/onnx/onnx-r NeedsCompilation: no Materials: README NEWS In views: ModelDeployment CRAN checks: onnx results Documentation: Reference manual: onnx.pdf Vignettes: Load and Run an ONNX ModelPlease use the canonical form https://CRAN.R-project.org/package=onnx to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4