Manuel's repositories
awesome-coronavirus
🦠 Useful projects and resources for COVID-19 (2019 novel Coronavirus)
cdccovidview
😷Weekly Surveillance Summary of U.S. COVID-19 Activity
colombia_covid_19_pipe
Pipeline to get datasets from Instituto Nacional de Salud daily report Coronavirus Covid 19 of Colombia.
coronadatascraper
COVID-19 Coronavirus data scraped from government and curated data sources.
coronavirus
The coronavirus dataset
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
COVID19
Coronavirus COVID-19 (2019-nCoV) Epidemic Datasets
covid19-1
JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
covid19-nor-data
Cleaned public data about Covid-19 in Norway
covid19-r
Collection of analyses, packages, visualisations of COVID19 data in R
COVID19_CFR_submission
Repository for all scripts required to replicate the CFR analysis for paper submission.
covid19_scenarios
Models of COVID-19 outbreak trajectories and hospital demand
covid19model
Code for modelling estimated deaths and cases for COVID19.
covid19R
This R package provides access to a wide variety of data sources about Covid-19 in a standardized tidy data format.
CoVID_risk_assessment
CoVID-19 risk assessment
Data-Science--Cheat-Sheet
Cheat Sheets
Data-Science-for-COVID-19
COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer
Data_science_from_Scratch
Learning data science and making applications to clinical medicine with R.
epidemicmodels
SIR, SEIR, and beyond
frontend
Website interface for chess database
grad_school_git_course
Using Git to Code, Collaborate and Share
lichess-tactics-generator
Generate chess tactics from your own lichess games.
nCoV2019
Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China
neural-chessboard
♔ An Extremely Efficient Chess-board Detection for Non-trivial Photos ♔
pgn-tactics-generator
Generate chess puzzles / tactics from a pgn file
stochasticity-practical
:sparkles::chart_with_upwards_trend::sparkles: Shiny application for stochasticity practical