Epidemiology101 VS lockdowndates

Compare Epidemiology101 vs lockdowndates and see what are their differences.

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Epidemiology101 lockdowndates
2 3
278 6
2.2% -
5.6 0.0
27 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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.

Epidemiology101

Posts with mentions or reviews of Epidemiology101. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-21.
  • Show HN: What Are You Working On?
    6 projects | news.ycombinator.com | 21 Apr 2024
    Trying to put the finishing touches on a Python package [1] for epidemic modeling using Compartmental models. This grew out of a series of blog posts I started writing during the pandemic [2] based on my professional experience in epidemic modeling in a previous life where I was the lead developer for a state of the art global epidemic model [3].

    [1] http://github.com/DataForScience/epidemik

    [2] https://github.com/DataForScience/Epidemiology101

    [3] https://www.gleamviz.org/explore.html

  • AI outperforms conventional weather forecasting for the first time: Google study
    1 project | news.ycombinator.com | 15 Nov 2023
    No worries, Google does tend to do a good job of monopolizing attention in whatever they do and Epidemic Modeling is... complicated. Probably much more complicated than pretty much any other kind of modeling since people have the bad habit of thinking and acting in whatever way they want (sometimes with the explicit purpose of breaking your model :).

    Now, if you want to see the real-world state-of-the-art epidemic modeling on a global scale, checkout GLEaM/GLEaMViz https://www.gleamviz.org/ (full disclaimer, in a previous life I was the lead developer).

    And if you're interested in a basic intro, you can also checkout my (somewhat neglected) series of blog posts from the pandemic days: https://github.com/DataForScience/Epidemiology101

lockdowndates

Posts with mentions or reviews of lockdowndates. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-29.

What are some alternatives?

When comparing Epidemiology101 and lockdowndates you can also consider the following projects:

covid-19 - Coronavirus COVID-19 Dashboard - Global Kaggle Data

Data-science - Collection of useful data science topics along with articles, videos, and code

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

DataDrivenDynSyst - Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Deep_XF - Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

covid_project - Data analysis project on a COVID-19 data set provided by Our World in Data

StravaKudos - :running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.

covid19-sir - CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

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.

CSGO-Pro-Gear-Performance-and-EDA - Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.

functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.