Published May 21, 2021 | Version 1.0
Software Open

Winning code and models from the first Genetic Engineering Attribution Challenge

  • 1. University of Pennsylvania
  • 2. None
  • 3. Exponential Ventures LLC
  • 4. Russian Academy of Sciences

Description

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

GEAC Winning Models.zip

Files (39.1 GB)

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md5:f0f4b2d021ea3ee8294bbc89ce97b0f0
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md5:7821ad0426cb5e2f9e72ba536bbe554a
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