https://github.com/marmarelis/logistic-point-process

A novel point-process model to predict the course of epidemics and other saturating phenomena.
https://github.com/marmarelis/logistic-point-process

covid-19 forecasting inference machine-learning point-process tensorflow time-series

Last synced: about 2 months ago
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A novel point-process model to predict the course of epidemics and other saturating phenomena.

• Host: GitHub
• URL: https://github.com/marmarelis/logistic-point-process
• Owner: marmarelis
• License: gpl-3.0
• Created: 2021-02-17T20:12:08.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-10-21T22:18:56.000Z (about 3 years ago)
• Last Synced: 2023-10-19T19:10:16.713Z (about 1 year ago)
• Topics: covid-19, forecasting, inference, machine-learning, point-process, tensorflow, time-series
• Language: Python
• Homepage:
• Size: 9.53 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## The Logistic Point Process.

Tested on Tensorflow 2.5 (nightly). Before running `job.py`, please make sure you have installed `msgpack msgpack-numpy numpy pandas tf-nightly argh tqdm scipy termcolor`.