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Differential Programming in JavaScript.

Home Page: http://propelml.org/

License: Apache License 2.0

Python 0.28% JavaScript 1.95% TypeScript 92.16% C 0.15% C++ 2.63% CSS 2.24% HTML 0.59%

propel's Introduction

April 19, 2018

TensorFlow.js was recently released. It is well engineered, provides an autograd-style interface to backprop, and has committed to supporting Node. This satisfies our requirements. It is counterproductive to pursue a parallel effort. Thus we are abandoning our backprop implementation, TF C binding, and the TF/DL bridge, which made up the foundation of the Propel library. We intend to rebase our work on top of TFJS.

Our high-level goal continues to be a productive workflow for scientific computing in JavaScript. Building on top of TFJS allows us to focus on higher-level functionality.

We have no release at this time.

propel's People

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alaq avatar curt-mitch avatar dangerdak avatar dbieber avatar dio avatar indutny avatar lisza avatar markadell avatar mjschock avatar piscisaureus avatar qti3e avatar ry avatar ryanmurakami avatar swarajgiri avatar tmarshall avatar webtaculars avatar yungbeto avatar

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