reichlab Goto Github PK
Name: The Reich Lab at UMass-Amherst
Type: Organization
Location: Amherst, MA
Blog: http://reichlab.io
The Reich Lab at UMass-Amherst's Projects
2017-2018-cdc-flu-contest
Code and submissions for 2017-2018 CDC flu prediction contest
2018-2019-cdc-flu-contest
Code and data for ReichLab CDC flu forecasts for 2018/2019 season.
activemonitr
Modeling of costs and risks of active monitoring during pandemics.
adaptively-weighted-ensemble
Code and manuscript for adaptively weighted ensembles via stacking
alert
Implementation of the ALERT algorithm for detecting the onset of influenza season.
annual-predictions-paper
The code and data required to make annual predictions for Thailand
ardfa
Auto-Regressive Dynamic Factor Analysis models
article-disease-pred-with-kcde
Article: Infectious Disease Prediction with Kernel Conditional Density Estimation.
bayesian_non_parametric
casebot
Slack automation bot
cdcfluforecasts
Code and submissions for team Kernel of Truth's submissions to the 2019-2020 CDC flu prediction contest
cdcfluutils
R package with utility functions for CDC flu forecasts for team Kernel of Truth
cdcforecastutils
utilities for forecasting for cdc competitions
container-demo-app
container-utils
Utility scripts for containerized apps.
covid-19-hub-vizualization
covid-hosp-forecasts-with-cases
covid-hosp-models
Simple hospitalization forecasting models for COVID-19
covid19-ensemble-methods-manuscript
covid19-forecast-evals
Code and data for forecast evaluation research papers
covid19-forecast-hub
Projections of COVID-19, in standardized format
covid19-forecast-hub-validations
covid19-forecast-hub-web
Source for the COVID 19 forecast hub website
covid19-forecast-hub-web-1
Source for the COVID 19 forecast hub website
coviddata
Versioned covid data
covidensembles
R package for building ensembles of covid forecasts
covidhubutils
Utility functions for the COVID-19 forecast hub
covidmodels
predictive models for covid
d3-foresight
Interactive visualization for time series forecasts
dengue-data-stub
If you clone this project, change to the root directory, and do `remake::make()` it will download time-series for Dengue in Thailand, at the moment a few things are hard-coded still.
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