Topic: forecasts Goto Github
Some thing interesting about forecasts
Some thing interesting about forecasts
forecasts,
User: alyssonvidal
forecasts,Tournaments for football forecasters: web app
User: andrewshostak
Home Page: https://prognoz.org.ua/
forecasts,Comparison of Model Output Statistics and Adaptive Regression based on Kalman Filters for the Lorenz-96 Model.
User: anilzen
Home Page: https://anilzen.github.io/adaptive_regression
forecasts,The purpose of this report is to identify the most appropriate model to forecast future unemployment rate in the US using the historical data. We present an in-depth study of the forecasts for the monthly U.S. unemployment rate using various time series models and comparing them to further our understanding of the strengths and deficiencies of these methods.
User: apurvashekhar
forecasts,This is the data scraping & modeling code used for models shown in https://econforecasting.com.
User: bongohead
Home Page: https://econforecasting.com
forecasts,Generates a daily, city specific forecast for the duration of a user created road trip itinerary.
User: brianhook1183
Home Page: https://brianhook1183.github.io/roadtrip-forecast/
forecasts,This is a web display that shows current weather, weather forecast, Google Calendar Events, Crypto Prices and random quotes. It is built on MiddleManApp, jQuery, SCSS, JavaScript, and basic HTML.
User: chaos67731
forecasts,Forecasting the effective reproduction number over short timescales
Organization: epiforecasts
Home Page: https://epiforecasts.io/EpiSoon/
forecasts,A mobile forecast and weather app
User: filocava99
forecasts,An all-purpose Discord bot written in Python featuring a diverse collection of practical utilities.
User: glazeglopmike
forecasts,Dynamic Grid Prices for Ecopower
User: infradom
forecasts,getgfs extracts weather forecast variables from the NOAA GFS forecast with no obscure, platform specific, dependencies
User: jagoosw
Home Page: https://getgfs.readthedocs.io/
forecasts,SARS-CoV-2 variant growth rates and frequency forecasts
Organization: nextstrain
Home Page: https://nextstrain.org/sars-cov-2/forecasts/
forecasts,Golang GRIB2 parser
User: nilsmagnus
forecasts,A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.
User: nive927
forecasts,Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
User: nk027
Home Page: https://cran.r-project.org/package=BVAR
forecasts,Easy to Deploy Prediction Market Platform
Organization: openpredictionmarkets
Home Page: https://github.com/openpredictionmarkets/socialpredict
forecasts,Fetch forecasts from prediction markets/forecasting platforms to make them searchable. Integrate these forecasts into other services.
Organization: quantified-uncertainty
Home Page: https://metaforecast.org/
forecasts,Projections of COVID-19, in standardized format
Organization: reichlab
Home Page: https://covid19forecasthub.org
forecasts,This project is to measure the popularity of each league using the search data collected from Google Trends, which give real-time historical data on search words. With this project, it is also possible to compare and forecast how the sports league are trending with respect to each other using three models — trend plus seasonality regression, Holt-Winters Multiplicative (HWMM), and Seasonal Autoregressive Integrated Moving Average (SARIMA). Businesses interested in advertising or investing with either league may leverage these forecasts for deciding which sports league provides the greater or long-term value.
User: samyak1999
forecasts,weather application
User: savinahellen
Home Page: https://savinahellen.github.io/weather-forecast-app/
forecasts,Time series analysis in Java
User: signaflo
forecasts,This is an attempt to produce load forecast for an electric grid using historic load and weather data
User: sumedhsankhe
forecasts,A simple app that interfactes with wttr.in for local weather information and forecasts
User: user18130814200115-2
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