Convert Matlab code to optimized Python with numba/cython and docs/tests

This project is to convert a Matlab library of 10,000 functions to optimized Python code.

My expectation is that the code is optimized with Cython/Numba and follows software practices that conform to scikit-learn's code guidelines:

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I would also like documentation compatible with Sphinx that also generates docs like this:

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numerical tests verifying the mathematical integrity of the functions, continuous integration with Jenkins and performance comparisons before and after code optimization.

If you want to bid on this, you will need at least 25 ratings and some example of your Python work. You will also need to mention sklearn code guidelines in your message if you want a reply.

Skills: Mathematics, Matlab and Mathematica, Python, Software Architecture, Statistics

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About the Employer:
( 2 reviews ) Camarillo, United States

Project ID: #18337762

21 freelancers are bidding on average €19/hour for this job


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(32 Reviews)

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(26 Reviews)

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