Build AI solutions that drive positive social impact
Facebook is passionate about bringing the world closer together by advancing artificial intelligence - connecting people to what they care about, powering new, meaningful experiences, and advancing the state-of-the-art through open research and accessible tooling.
Whether you’re just getting started, or an experienced pro, we invite you to flex your creative muscles by submitting a project through our Artificial Intelligence track, where you’ll have a chance to build on popular AI technologies - including PyTorch.
Not only is this a chance to put your skills to the test and learn something new, but you’ll also connect with a global community of like-minded developers, benefit from educational resources and be in the running to win some awesome cash prizes.
Main requirement: Build a creative and well-implemented solution using PyTorch that can unlock positive impact on businesses or people. The solution can be a machine learning model, an application, or focused on a creative project like art or music - all built with PyTorch.
Submit the following materials before 5pm EST March 16th, 2020:
- Demo video. (hosted on Facebook Video, YouTube, Vimeo, or Youku). Your video should be around 2 minutes, include a demo of your working application via a step-by-step visual demo, and be available in English. Be sure to explain how the Facebook products used enhances the experience of your solution!
- Access. A way to access your working application for judging and testing by providing a link to your publicly accessible code repository.
- Complete submission form. All required fields must be completed and submitted on Devpost BEFORE the deadline. Late entries will NOT be accepted.
Open Source Developer Advocate Lead
Partner Engineer at Facebook working with PyTorch
Quality of the Idea
Includes creativity and originality of the idea.
Implementation of the Idea
Includes how well the idea was executed by the developer and the extent to which the featured Facebook products were incorporated.
Includes the potential value and usefulness to real-world users.
- Machine Learning/ AI