Mini Hackathon: Building a deep learning powered application in R

May 18, 2019 · San Francisco, United States of America

Hello everyone,

We are super excited to bring you all our first R-Ladies Hackathon in SF. Come and join us for this fun afternoon where we will be coding in R, using several packages including R Shiny, Plumber, etc. We will leverage the Model Asset Exchange, an open source project that makes free, deployable and trainable deep learning code available for you to use and consume.

Our goal in this hackathon is for you to use these models and create a web application with a potential use case around it. You can find sample python version of the app here:

The exciting use case will win the competition.

#1: $75 gift card
#2: Have your project added to the Open Source Developer patterns

1:30pm - 2pm: Setup
2pm - 5pm: Hacking time
5pm - 5:30pm: Presentations
5:45pm: Judges will provide feedback and announce the winner


Workshop on Model Asset Exchange will be conducted online on May 16, 2019 from 6:30 to 7:30 PM PST to give a better overview of the process. Add your name and email id in below sheet to be added to the call:


• Important to know

Anyone who violates or has previously violated this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition.

• The mission of R-Ladies is to achieve proportionate representation by encouraging, inspiring, and empowering people of genders currently underrepresented in the R community.

We are emphatically queer and trans-friendly.


A huge thank you to SHARED ( for hosting us!

Event organizers
  • R-Ladies San Francisco

    R-Ladies is a world-word organization to promote gender diversity in the R community.  Anyone with an interest in R is encouraged to participate. It doesn't matter if you never used R or if you are an R expert. The goal is to promote R, exchange knowledge and foster a supportive community for self-identifying women, genderqueer, non-binary folks. Come and join us! Github: Twitter: Website: We are emphatically queer and trans

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