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bzCompute is a computation graph library with built-in support for domain-decomposition and prallel computation. The library can be used for expressing and executing large number of mathematical and text-processing operations using Data-Flow graphs, (Educational version of tensorflow), written in pure python code with numpy support.

License: Apache License 2.0

Python 100.00%
computer-science domain-decomposition educational-project machine-learning parallel-computing

bzcompute's Introduction

Hi 👋, I'm Narasimha Prasanna HN

narasimha1997

  • 👨‍💻 All of my projects are available on my website

  • 📝 I regulary write articles on Dev.to

  • Ask me about Full Stack application development, Video Processing, Mircoservices, Kubernetes and AI

  • 📫 How to reach me [email protected]

https://dev.to/narasimha1997 https://twitter.com/prasannahn1997 narasimha-prasanna-hn-17aa89146 https://stackoverflow.com/users/9710307/narasimha-prasanna-hn https://www.kaggle.com/narasimha1997 narasimha.prasanna1 @narasimhaprasannahn narasimhaprasan1

bzcompute's People

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bzcompute's Issues

Add graph export/import capability

Provide functions to save and load the computation graph.

  1. Should export the computation graph as a json file, call the API as save()
  2. The json file must contain all node definitions in the compute graph
  3. Import the graph using function called load(), it should return the graph object.

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