lockdowndates
Epidemiology101
| lockdowndates | Epidemiology101 | |
|---|---|---|
| 3 | 2 | |
| 6 | 277 | |
| - | 1.8% | |
| 0.0 | 5.6 | |
| over 1 year ago | 18 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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.
lockdowndates
- Python package to help with feature engineering in machine learning for data during the covid-19 pandemic!
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Python package to aid with feature engineering data during the covid-19 pandemic!
u/ColdPorridge hey there - if you download lockdowndates version 0.0.4 from pypi or Conda you can now get access to the masks restrictions data! Check it out and let me know what ya think :) https://github.com/seanyboi/lockdowndates
Epidemiology101
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Show HN: What Are You Working On?
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
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AI outperforms conventional weather forecasting for the first time: Google study
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
What are some alternatives?
Data-science - Collection of useful data science topics along with articles, videos, and code
covid-19 - Coronavirus COVID-19 Dashboard - Global Kaggle Data
DataDrivenDynSyst - Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
california-coronavirus-scrapers - The open-source web scrapers that feed the Los Angeles Times California coronavirus tracker.
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.
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
StravaKudos - :running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.
covid_project - Data analysis project on a COVID-19 data set provided by Our World in Data
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.
covid19-sir - CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
CSGO-Pro-Gear-Performance-and-EDA - Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.