Priesemann-Group/covid19_inference
Bayesian python toolbox for inference and forecast of the spread of the Coronavirus
Jupyter NotebookGPL-3.0
Stargazers
- ada-k@AtlasAIPBC
- alex-obiFZ Jülich
- asifrNew York
- cast42Dataroots
- damianknopoff
- dikshieKeio University
- disenodcCESIMAR CENPAT CONICET
- dmarinereLagos, Nigeria
- dxl2016
- gladomatAicura Medical
- icco@pinginc
- jarib@jarib | @vgno
- jaybakerDynaSolve
- jdehning@Priesemann-Group
- JJUGR + Raku
- joaopnUniversity of Graz
- johnlotomeMombasa
- kunanit@aws
- maherzogUlm University
- mgirardisFederal University of Santa Catarina
- mtndrew61
- nanohannoRatepay
- ozelFAIR
- pitmonticoneUniversity of Trento
- rstammer@trendence
- semohr@Priesemann-Group
- sheyllvier GmbH
- spencerbraunSan Francisco, CA
- truEngineerSaint-Petersburg
- v-a-s-aBerlin, Germany
- virajekanayakeNIFS
- vpriesem
- weidenka
- wmf1991yeah
- zeliangwangUniversity of Exeter
- zierenbergPriesemann-Group