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ONNX download for Windows

Free download ONNX Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named ONNX whose latest release can be downloaded as v1.14.1.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named ONNX with OnWorks for free.

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- 1. Downloaded this application in your PC.

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- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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ONNX


DESCRIPTION

ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. 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.



Features

  • The open standard for machine learning interoperability
  • ONNX is a community project
  • Shape and Type Inference
  • Graph Optimization
  • Opset Version Conversion
  • A binary build of ONNX is available from Conda


Programming Language

C++


Categories

Machine Learning, Deep Learning Frameworks

This is an application that can also be fetched from https://sourceforge.net/projects/onnx.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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