Machine Learning Model Deployment Made Simple, by Oracle

What is GraphPipe?

GraphPipe is a protocol and collection of software designed to simplify machine learning model deployment and decouple it from framework-specific model implementations.

GraphPipe is a tool in the Machine Learning Tools category of a tech stack.

GraphPipe is an open source tool with 620 Github Stars and 85 Github Forks. Here’s a link to GraphPipe's open source repository on Github

Who Uses GraphPipe?

GraphPipe integrates with

Why people like GraphPipe

Here’s a list of reasons why companies and developers use GraphPipe.

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GraphPipe's Features

  • A minimalist machine learning transport specification based on flatbuffers
  • Simple, efficient reference model servers for Tensorflow, Caffe2, and ONNX.
  • Efficient client implementations in Go, Python, and Java.

GraphPipe's alternatives

  • TensorFlow - Open Source Software Library for Machine Intelligence
  • scikit-learn - Easy-to-use and general-purpose machine learning in Python
  • Keras - Deep Learning library for Theano and TensorFlow
  • PyTorch - A deep learning framework that puts Python first
  • ML Kit - Machine learning for mobile developers (by Google)

See all alternatives to GraphPipe

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