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nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks

Home Page: http://ngraph.nervanasys.com/docs/latest

License: Apache License 2.0

CMake 0.27% Makefile 0.04% Shell 0.09% Python 0.47% C++ 99.13%

ngraph's Introduction

nGraph library

Welcome to Intel® nGraph™, an open source C++ library, compiler and runtime. This project enables modern compute platforms to run and train Deep Neural Network (DNN) models. It is framework-neutral and supports a variety of backends used by Deep Learning (DL) frameworks.

nGraph ecosystem

Documentation

See our install docs for how to get started.

For this early release, we provide framework integration guides to compile MXNet and TensorFlow-based projects. If you already have a trained model, we've put together a getting started guide for how to import a deep learning model and start working with the nGraph APIs.

Support

Please submit your questions, feature requests and bug reports via GitHub issues.

How to Contribute

We welcome community contributions to nGraph. If you have an idea how to improve the library:

  • Share your proposal via GitHub issues.
  • Ensure you can build the product and run all the examples with your patch.
  • In the case of a larger feature, create a test.
  • Submit a pull request.
  • We will review your contribution and, if any additional fixes or modifications are necessary, may provide feedback to guide you. When accepted, your pull request will be merged to the repository.

ngraph's People

Contributors

adstraw avatar arogowie-intel avatar ashokei avatar avijit-nervana avatar cconvey avatar cconvey-intel avatar crlishka avatar dawnstone avatar diyessi avatar drwebb avatar ecouzens avatar fengleitian avatar indie avatar jbobba avatar jennifermyers avatar jmenon avatar krovatkin avatar louisfeng avatar nbpatel avatar postrational avatar pruthvi1990 avatar rkimballn1 avatar sasadep avatar sfvaroglu avatar sharathns93 avatar silee2 avatar tsocha avatar varun-intel avatar yxlao avatar

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