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Winning code and models from the first Genetic Engineering Attribution Challenge

Kirill Batmanov; Evgeny Kuznetsov; Yao Xie; Grigorii Karmatskii; Adriano Marques; Fernando H. F. Camargo; Igor Muniz Soares; Igor Jovanović; Roman Solovyev

This repository contains pretrained models from all prizewinning teams from the first Genetic Engineering Attribution Challenge, as well as the code needed to reproduce their results. Each entry is provided with an explanatory README.

The code has been verified independently at time of receipt, but is not actively maintained. In particular, neither DrivenData nor altLabs is responsible for maintenance of the code.

The Challenge was hosted by DrivenData and sponsored by altLabs. Please contact hello@altlabs.tech with any questions about the repository.

More information about the competition is available here: https://www.drivendata.org/competitions/63/genetic-engineering-attribution/

 

 

 

 

 

Files (19.6 GB)
Name Size
GEAC Winning Models.zip
md5:48690165ed3fc66c4c871a27fb65dcaf
19.5 GB Download
genetic-engineering-attribution.zip
md5:7821ad0426cb5e2f9e72ba536bbe554a
59.7 MB Download
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