Project Description
The outcome of this project will be a static web page that can be used to diagnose different diseases based on a Chest X-Ray.
Goal for this Hackweek
The goal is to learn TensorflowJS and to put on practice what I have learn in week 1 of https://www.coursera.org/learn/ai-for-medical-diagnosis.
Resources
- https://www.coursera.org/learn/ai-for-medical-diagnosis
- https://nihcc.app.box.com/v/ChestXray-NIHCC
- https://observablehq.com/@tvirot/machine-learning-in-javascript-with-tensorflow-js-part-ii
- https://www.tensorflow.org/js/tutorials/conversion/import_keras
Looking for hackers with the skills:
This project is part of:
Hack Week 21
Activity
Comments
-
over 3 years ago by jordimassaguerpla | Reply
code in https://github.com/jordimassaguerpla/susehackweek2022 results in https://github.com/jordimassaguerpla/susehackweek2022#results
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Kudos aka openSUSE Recognition Platform by lkocman
Description
I started the Kudos application shortly after Leap 16.0 to create a simple, friendly way to recognize people for their work and contributions to openSUSE. There’s so much more to our community than just submitting requests in OBS or gitea we have translations (not only in Weblate), wiki edits, forum and social media moderation, infrastructure maintenance, booth participation, talks, manual testing, openQA test suites, and more!
Goals
Kudos under github.com/openSUSE/kudos with build previews aka netlify
Have a kudos.opensuse.org instance running in production
Build an easy-to-contribute recognition platform for the openSUSE communit a place where everyone can send and receive appreciation for their work, across all areas of contribution.
In the future, we could even explore reward options such as vouchers for t-shirts or other community swag, small tokens of appreciation to make recognition more tangible.
Resources
- Source code: github.com/lkocman/kudos
- Issue tracker: github.com/lkocman/kudos/issues