A community driven codebase
Community driven solutions/projects to problems created by the covid-19 pandemic.
By taking part in the discussion, either via the Slack Channel or Zoom Meetings. You can find the relevant links below.
Find the links below for covid-19 related data sources, you can join one of the initiaves or apply to our local context.
-
Reference data-sets : maintained and hosted by Data Science for Social Impact research group, led by Dr. Vukosi Marivate, at the University of Pretoria - > https://github.com/dsfsi/covid19za
-
Visualisation Dashboard : https://datastudio.google.com/u/0/reporting/1b60bdc7-bec7-44c9-ba29-be0e043d8534/page/hrUIB
-
Epidemiological data from the COVID-19 outbreak, real-time case information : https://github.com/beoutbreakprepared/nCoV2019
-
2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE - https://github.com/CSSEGISandData/COVID-19
-
Covid TweetIDs: https://github.com/echen102/COVID-19-TweetIDs
-
Kaggle Tweets: https://www.kaggle.com/smid80/coronavirus-covid19-tweets
- https://github.com/ieee8023/covid-chestxray-dataset - Tutorial available in here : https://www.pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-keras-tensorflow-and-deep-learning/
- Screening tool based on voice captured from the mobile phone : https://www.breatheforscience.com/our-mission
- Screening tool based on cough sounds captured from the phone https://www.detect-now.org/
- Sneezing and cough datasets : https://osf.io/tmkud/
Please join the community discussion in our dedicated slack channel :) https://join.slack.com/t/ctml/shared_invite/zt-d20yp3r5-v986Rl6Bz_89u4THH4MnQw
Interact with us on Zoom: https://us04web.zoom.us/j/7105739353