Share your neuroimaging knowledge with deep learning experts or vice versa.
Learn how to apply the latest machine learning models to your data, or how to adapt your models to up to 4D neuroimaging data.
Find exciting projects that you would like to contribute to.
Meet researchers from a variety of backgrounds.
The goals of this two-day hacking sprint are to familiarize the deep learning community with specific challenges faced working with medical data, and to introduce neuroscience researchers to the opportunities presented by new deep learning architectures for scientific discovery.
Brainhack has always been a collaborative event that focuses on open sharing of ideas, code, and even data. The AI community is at the forefront of open science, where most authors pre-print open access papers and publish their code so that others can easily reproduce their work and adapt it to their own use case.
Basic familiarity with Python is recommended. Learn Python here.
Post a new project on the Deep Brainhack Wiki. All it takes to contribute to the list is a github account!
Please join the Brainhack Slack and announce your project on the #brainhack-global-mtl channel. We suggest you create a dedicated channel for your project.