This repository contains the source of Simple implementation of LSTM networks for univariate time series forecasting a web app made with R for the implementation of vanilla LSTM networks for univariate time series forecasting.
Packages: The application use the following packages: shiny, shinyalert, shinybusy, shinyjs, shinythemes, shinyWidgets, DT, ggplot2, jsonlite, keras, Metrics, readr, readxl, rmarkdown, scales, tensorflow, tools, tseries, xlsx and zip. Must have packages installed to run the application.
Launch application:
shiny::runGitHub(repo = "davidrsch/simple-LSTM-networks-for-univariateTS", ref = "main")or try it at shinyapps.io.