[Deep learning] Translate Tensorflow into Pytorch source code of a research paper

$80-120 USD

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over 3 years ago

$80-120 USD

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Translation paper: MoDL: Model-Based Deep Learning Architecture for Inverse Problems Tensorflow version source code: [login to view URL] (available 2020.10.06) Budget: 80 – 120$ Timeline: 1 week Detail requirements: Development environment and techniques: - Pytorch, Python 3, OOP style - Translation source code: [login to view URL] Evaluation criteria: - Conjugate gradient algorithm with backward in Pytorch. - Use datasets provided in the source code to produce the results. - Reproduced results: PSNR > 38.5 dB for an 8-fold acceleration with random noise of sigma = 0.01 ( tensorflow achieves 39.5 dB) with visualization of results.

Project ID: 27643295

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Awarded to:

@tamvannguyen

Hi, thanks for your posting. I see you want to convert an existing Tensorflow model to Pytorch one. I'm well-versed in Tensorflow and Pytorch so I can help you well. I'm Deep Learning expert with over 3 years of experience. I have done many projects in Tensorflow (1x and 2x) and Pytorch. You can check my profile. If you want to discuss more details, please message me over chat. Best regards, Tam

$120 USD in 7 days