Coswara-Data VS covid19-severity-prediction

Compare Coswara-Data vs covid19-severity-prediction and see what are their differences.

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Coswara-Data covid19-severity-prediction
2 1
171 227
- 0.4%
4.5 0.0
10 months ago 6 months ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Coswara-Data

Posts with mentions or reviews of Coswara-Data. We have used some of these posts to build our list of alternatives and similar projects.

covid19-severity-prediction

Posts with mentions or reviews of covid19-severity-prediction. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Coswara-Data and covid19-severity-prediction you can also consider the following projects:

corona-ml - Machine learning to text-mine coronavirus research for CoronaCentral.ai

california-coronavirus-scrapers - The open-source web scrapers that feed the Los Angeles Times California coronavirus tracker.

epispot - A tool for modeling infectious diseases.

Open-Risk-Manual-PdfBooks - Collection of PdfBooks extracted from the Open Risk Manual

covid19za - Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

finite-element-networks - Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Digital-Learning-During-COVID19-EDA - In this project, we will be using data analysis tools to figure out trends in digital learning and how it is effective towards improvised communities. We will be comparing districts and states on factors like demography, internet access, learning product access, and finance.