notebooksCode examples for pyFTS
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TensorflowonsparkTensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
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pssaSingular Spectrum Analysis for time series forecasting in Python
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Diebold-Mariano-TestThis Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
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espanaFree open public domain football data (football.db) for España (Spain) / Europe - Primera División / La Liga, etc.
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minizork-1987Sampler Edition of Zork (1987 Version) (Infocom)
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Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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yahoo-auctionPhp library for yahoo auction. Bid on lot, watch bidding lots and get won lots
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draftjsDraft.js exporter for Go
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datebook📅 Generates URLs and downloadable ICS files for adding events to popular calendar apps.
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TimetkA toolkit for working with time series in R
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sportyRR package for drawing regulation playing surfaces for several sports
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SARS-CoV-2-Nowcasting und -R-SchaetzungDas Nowcasting erstellt eine Schätzung des Verlaufs der Anzahl von bereits erfolgten SARS-CoV-2-Erkrankungsfällen in Deutschland unter Berücksichtigung des Diagnose-, Melde- und Übermittlungsverzugs.
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Da RnnDual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
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ModeltimeModeltime unlocks time series forecast models and machine learning in one framework
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football-peek[JavaScript - NodeJS] Application to access football scores
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ewstoolsPython package for early warning signals (EWS) of bifurcations in time series data.
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forecastVegA Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
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StocksPrograms for stock prediction and evaluation
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Sales-PredictionIn depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
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Gluon TsProbabilistic time series modeling in Python
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PyForecastPyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.
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WayebWayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.
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PecanThe Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
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yahoofantasyA Python SDK for the Yahoo! Fantasy Sports API
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Deep QuantDeep learning for forecasting company fundamental data
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ErgoA Python library for integrating model-based and judgmental forecasting
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Neural prophetNeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
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Fpp3 PackageAll data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.
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fantasy-football-scoreboardDisplay the score of your fantasy football team on a Raspberry Pi driven RGB LED matrix for maximum ease of disappointment
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PmdarimaA statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
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Draft▪️Online markdown editor
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Forecastforecast package for R
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DartsA python library for easy manipulation and forecasting of time series.
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livescore-clicommandline football (soccer) livescore and *news for linux/mac user
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ArchARCH models in Python
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ForestCoverChangeDetecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery
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sknifedatarsknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.
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FableTidy time series forecasting
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FFDBNFL Database Engine for PostgreSql and Mongo (easily works with other custom databases too)
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query-selectorLONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
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Solar-Rad-ForecastingIn these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.
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mlforecastScalable machine 🤖 learning for time series forecasting.
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cfdmA Python reference implementation of the CF data model
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CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
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