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Crowd Sourcing Artificial Intelligence to solve Real World problems
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app Update table_row.rb Sep 18, 2019
bin review postdeploy changes Aug 5, 2019
config fix routing for teams with dots in their names Sep 10, 2019
db Challenge: Add Team Freeze Time Sep 16, 2019
doc Merge pull request #932 from bquast/patch-1 May 10, 2019
docker Oauth participant endpoint Mar 13, 2018
lib Rails Console and Dev env improvements Sep 5, 2019
log rails new crowdai -T --database=postgresql Feb 8, 2016
public Tests corrected Feb 27, 2019
scripts rearrange review app postdeploy script Jul 26, 2019
spec Challenge: Add support for Hidden Challenges Sep 16, 2019
vendor/assets Load fonts from `app/assets/fonts` Feb 27, 2019
.babelrc webpack Nov 21, 2017
.gitignore Add jetbrains ide files to gitignore May 21, 2019
.rspec add api: true to tests Jun 12, 2018
.rubocop.yml pssing model specs on refactoring May 1, 2017
.ruby-version security updates Mar 21, 2019
.slugignore add .slugignore Oct 2, 2018
.travis.yml Travis: Update from Trusty to Xenial Sep 16, 2019 Tweaks Jan 8, 2019 Change all 'AICrowd' References to 'AIcrowd' Sep 6, 2019
Gemfile Rails Console and Dev env improvements Sep 5, 2019
Gemfile.lock Rails Console and Dev env improvements Sep 5, 2019 update license Mar 22, 2018 add cd'ing into AIcrowd folder for clarity May 13, 2019
Procfile Update Procfile Apr 11, 2019 challenge calls Dec 11, 2017 Update Apr 19, 2019
Rakefile rails new crowdai -T --database=postgresql Feb 8, 2016
app.json review postdeploy changes Aug 5, 2019 reinstate basic auth for prometheus endpoint Aug 3, 2018
erd.pdf admin submission pages May 15, 2018
package-lock.json aicrowd redesign Feb 27, 2019
package.json Update name and author in package.json Apr 21, 2019
test.rb carrierwave local uploads (#785) (#809) Jan 27, 2019
tmpfile add touch file for heroku Mar 5, 2018
touchfile touch for CDN changes Jun 28, 2018

AIcrowd Logo

AIcrowd - The open platform for data science challenges

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AIcrowd ( is an online platform for open data challenges. It has two goals:

  • to be the place for solving (big) data problems in open science through open challenges
  • to be the place for learning about the techniques used to solve these problems.

Developed in Switzerland, AIcrowd is open to participants from anywhere in the world. The platform is also open to host challenges from anyone else, from big or small research groups in academia to well established company dealing with an interesting problem around open science and open data.

Open data challenges on the web give everyone around the world a shot at tackling difficult data problems.
By providing their solutions openly, participants can rapidly learn the latest powerful techniques from each other.

Contributing to AIcrowd

👍🎉 First off, thanks for taking the time to contribute! 🎉👍 Did we you say you are Awesomeee ?

Our Contribution guidelines are available at


We are in the process of migrating our documentation from the Wiki into this repository as markdown files.


You can always reach out to us at and you are always welcome to join the AIcrowd Community banter on our Gitter channel at

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