Programmer Needed To Translate from Python to Wolfram Mathematica with experienced in Deep Learning

I require a programer expert enough in the Wolfram Language (i.e., Mathematica and its Neural Net Framework) and Python (i.e., Tensorflow, Keras, Torch, etc.) to translate four models from python into Mathematica: BigGAN, Wavenet, VQ-VAE, PGGAN. These translations will need to include coding custom layers, loss functions, regularization methods, and most significantly, means of training in Mathematica, corresponding to the relevant python source and/or academic reference paper in question.

In addition to translating these four models, I also require means of training three models already translated and available architecturally (Cyclegan, pix2pix, SRGAN) in the Wolfram Language.

Finally, I require three custom NetDecoders, two of which would correspond to NetEncoders that are already available (“Audio”, “AudioSTFT”).

I will provide further details, example code, necessary reference papers, etc., upon hire.

Навыки: Python, Matlab and Mathematica, Machine Learning (ML), Deep Learning, Wolfram

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О работодателе:
( 0 отзыв(-а, -ов) ) Toronto, Canada

ID проекта: #23571651

9 фрилансеров(-а) готовы выполнить эту работу в среднем за $1083


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