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Inference Library for Javascript

An unified JavaScript API for scoring via various DL framework

This project is a JS framework that provide the handy API for client side scoring/reference, built on top of several existing DL/ML framework. Inference Library for Javascript is designed to lower the bar for programmers to adopt the hottest AI technology to their applications, reduce the cross-platform deployment headache, specifically optimized for Intel hardware platform and minimize the migration cost from one DL/ML framework to another.

Installation

# Preparation

npm -g install node-gyp

git clone https://github.com/TianyouLi/Inference-Library-for-JavaScript.git

Follow the instuctions under bagua-* folder and build the libraries.

Demos are provided under demo folder.

Currently Supported Backends

  1. bagua-caffe
  2. bagua-tensorflow
  3. bagua-mxnet
  4. bagua-movidius

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Unified JavaScript API for scoring via various DL framework

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  • Jupyter Notebook 64.4%
  • C++ 27.5%
  • Python 3.7%
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  • C 1.3%
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