BMI219-2017-ProteinFolding

pfnet-research

UCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)

bioinformatics

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15 Stars

10 Forks

15 Watchers

Python Language

Cost to Build

$2.6K

Market Value

$2.9K

How is this calculated?

Growth over time

3 data points · 2021-08-06 → 2022-02-02

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What is the pfnet-research/BMI219-2017-ProteinFolding GitHub project? Description: "UCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN) ". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone BMI219-2017-ProteinFolding

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git clone https://github.com/pfnet-research/BMI219-2017-ProteinFolding.git

Clone via SSH

[email protected]:pfnet-research/BMI219-2017-ProteinFolding.git

Download ZIP

Download master.zip

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