Topic: coronavirus Goto Github
Some thing interesting about coronavirus
Some thing interesting about coronavirus
coronavirus,Covidify - corona virus report and dataset generator for python 📈 [no longer being updated]
User: aaronward
coronavirus,Ultra-deep search for novel viruses
User: ababaian
Home Page: http://serratus.io
coronavirus,A Mac tool that finds available delivery slots for Amazon's Whole Foods delivery and Amazon Fresh services
User: ahertel
coronavirus,🦠 Track the Coronavirus disease (COVID-19) in the command line. Worldwide for all countries, for one country, and the US States. Fast response time (< 100ms). To chat: https://twitter.com/MrAhmadAwais/
User: ahmadawais
Home Page: https://NodeCLI.com
coronavirus,Corona Virus Tracker & Advices iOS App with SwiftUI
User: alfianlosari
coronavirus,This repository contains all the code I use in my YouTube tutorials.
User: ayushi7rawat
Home Page: https://www.youtube.com/ayushirawat
coronavirus,Backend implementation for the Apple/Google exposure notification API.
Organization: corona-warn-app
Home Page: https://www.coronawarn.app/
coronavirus,An easy-to-use PWA to monitor the user's wellness and learn about COVID-19.
Organization: covid-19-electronic-health-system
Home Page: https://coronatracker.me/
coronavirus,A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution
Organization: covid19datahub
Home Page: https://covid19datahub.io
coronavirus,Tracking the impact of COVID-19 in India
Organization: covid19india
Home Page: https://www.covid19india.org
coronavirus,COVID-19 Coronavirus data scraped from government and curated data sources.
Organization: covidatlas
Home Page: https://coronadatascraper.com
coronavirus,Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
User: cssegisanddata
Home Page: https://systems.jhu.edu/research/public-health/ncov/
coronavirus,Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
User: curiousily
Home Page: https://www.mlexpert.io/bootcamp
coronavirus,Informationssammlung zum Thema CoVid-19
User: cwoomi
coronavirus,Novel Coronavirus 2019 time series data on cases
Organization: datasets
Home Page: https://datahub.io/core/covid-19
coronavirus,API com dados atualizados sobre o status do COVID-19 🦠
User: devarthurribeiro
Home Page: https://covid19-brazil-api.now.sh
coronavirus,API for Current cases and more stuff about COVID-19 and Influenza
Organization: disease-sh
Home Page: https://disease.sh
coronavirus,Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
Organization: dsfsi
Home Page: https://dsfsi.github.io/covid19za-dash/
coronavirus,🦠 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🔥 FastAPI framework. Supports multiple sources!
User: expdev07
Home Page: https://coronavirus-tracker-api.herokuapp.com
coronavirus,2019 Wuhan Coronavirus data (COVID-19 / 2019-nCoV)
User: globalcitizen
coronavirus,COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Organization: institutefordiseasemodeling
Home Page: https://covasim.org
coronavirus,🦠 Novel Coronavirus (COVID-19) Tracker
User: johncoene
Home Page: https://coronavirus.john-coene.com/
coronavirus,Lest we forget this pandemic, or at least I won't forget. This project keep an archive for the mainstream media's articles which covering on COVID-19 (2019.12-). Including those deleted by CCP. Update till April 24th, 2020. All rights reserved to the author and his/her organization. 声援陈玫、蔡伟和张展。如果有言论自由,也就不会有新冠疫情的大规模爆发
User: lestweforget
Home Page: https://forget.eu.org
coronavirus,COVID-Net Open Source Initiative
User: lindawangg
coronavirus,This is the code running in AWS Lambda powering covid-api.mmediagroup.fr/v1. The API provides realtime and historical data on Coronavirus COVID-19 confirmed cases, deaths, and recovered cases. This API has now been called over 40 million times, thank you!
Organization: m-media-group
Home Page: https://covid-api.mmediagroup.fr/v1/cases
coronavirus,🫁 The world's first open-source ventilator tested on human patients. Mass-producible at a low cost (~2000€).
Organization: makers-for-life
coronavirus,Coronavirus tracker app for iOS & macOS with maps & charts
User: mhdhejazi
Home Page: https://coronatracker.samabox.com/
coronavirus,Israel's Ministry of Health's COVID-19 Exposure Prevention App
Organization: mohgovil
Home Page: https://health.gov.il/
coronavirus,Models of COVID-19 outbreak trajectories and hospital demand
Organization: neherlab
Home Page: https://covid19-scenarios.org
coronavirus,This repository contains data on Coronavirus Disease 2019 (COVID-19) in New York City (NYC), from the NYC Department of Health and Mental Hygiene.
Organization: nychealth
Home Page: https://www1.nyc.gov/site/doh/covid/covid-19-data.page
coronavirus,Open Coronavirus
Organization: open-coronavirus
Home Page: https://opencoronavirus.app
coronavirus,Consolidation des données de sources officielles concernant l'épidémie de COVID19
Organization: opencovid19-fr
coronavirus,🦠Corona Virus / Covid 19 Tracker Dashboard With Awesome UI + PWA + NodeJS Scraper
User: ossamarafique
Home Page: https://corona-statistics-and-tracker-dashboard-angular-9.vercel.app
coronavirus,A console-oriented COVID-19 tracker with real-time updates for your favorite terminal. 💻🌏😷
Organization: ossphilippines
Home Page: https://covid19-cli.wareneutron.com
coronavirus,Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
Organization: owid
Home Page: https://ourworldindata.org/coronavirus
coronavirus,Systematic dataset of Covid-19 policy, from Oxford University
Organization: oxcgrt
Home Page: https://www.bsg.ox.ac.uk/covidtracker
coronavirus,An agent-based simulation of corona and other viruses in python
User: paulvangentcom
coronavirus,JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
User: pomber
Home Page: https://pomber.github.io/covid19/timeseries.json
coronavirus,Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
User: ryansmcgee
coronavirus,Track conronavirus cases from command line. curl https://corona-stats.online/
User: sagarkarira
Home Page: https://corona-stats.online/
coronavirus,:microscope: Covid19 India Cluster Graph
User: someshkar
Home Page: https://cluster.covid19india.org
coronavirus,🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)
User: soroushchehresa
Home Page: https://corona.js.org
coronavirus,an interactive, animated COVID-19 coronavirus map to track the outbreak over time by country and by region for selected countries
User: stevenliuyi
coronavirus,📈 Coronavirus (COVID-19) dashboard to show the dynamics of Сoronavirus distribution per country
User: trekhleb
Home Page: https://trekhleb.dev/covid-19/
coronavirus,Dashboard for tracking Coronavirus (COVID-19) across the UK
Organization: ukhsa-internal
Home Page: https://coronavirus.data.gov.uk
coronavirus,COVID-19 data in Brazil: cases, deaths, and vaccination at municipal (city) level. Description of the data: https://github.com/wcota/covid19br/blob/master/DESCRIPTION.en.md and https://doi.org/10.1590/SciELOPreprints.362
User: wcota
Home Page: https://covid19br.wcota.me/
coronavirus,A global collection of Open Source projects during COVID-19
User: weileizeng
Home Page: http://open-source-covid-19.weileizeng.com/
coronavirus,COVID-19 App
Organization: worldhealthorganization
coronavirus,👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
User: yiranjing
coronavirus,Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
Organization: yu-group
Home Page: https://arxiv.org/abs/2005.07882
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