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forecasting
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126 search results found
Prophet
⭐
17,693
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or nonlinear growth.
Forecasting
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2,540
Time Series Forecasting Best Practices & Examples
Forecast
⭐
1,080
forecast package for R
Timetk
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594
Time series analysis in the `tidyverse`
Fable
⭐
531
Tidy time series forecasting
Modeltime
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483
Modeltime unlocks time series forecast models and machine learning in one framework
Tsstudio
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412
Tools for time series analysis and forecasting
Pecan
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193
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Time Series Forecasting
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167
Sweep
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154
Extending broom for time series forecasting
Fasster
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144
Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors
Atsaf
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120
Applied Time Series Analysis and Forecasting
Applied Machine Learning
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117
A stepbystep guide to get started with Applied Machine Learning
Fpp3package
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106
All 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.
Fpp2 Package
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103
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp2/>. All packages required to run the examples are also loaded.
Downscaler
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92
An R package for climate data bias correction and downscaling (part of the climate4R bundle)
Walmart_competition_code
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92
This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.
Finnts
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90
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cuttingedge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
Fabletools
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87
General fable features useful for extension packages
Tsforecasting
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79
This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
Trend Api
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78
Anomaly detection and forecasting API
Forecastml
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76
An R package with Python support for multistepahead forecasting with machine learning and deep learning algorithms
Modeltime.ensemble
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70
Time Series Ensemble Forecasting
Msgarch
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67
MSGARCH R Package
Mvgam
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66
{mvgam} R 📦 to fit Dynamic Bayesian Generalised Additive Models for time series analysis and forecasting
Demography
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61
demography package for R
Biomod2
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61
BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of speciesenvironment relationships.
Fable.prophet
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53
fable extension for the prophet forecasting procedure
Midasr
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51
R package for mixed frequency time series data analysis.
Maltese
⭐
47
Little R utility package for making time series data more machine learningfriendly
Bayesmodels
⭐
46
The Tidymodels Extension for Bayesian Models
Boostime
⭐
45
The Tidymodels Extension for Time Series Boosting Models
Thief
⭐
44
Temporal HIErarchical Forecasting
Kaggle_walmart Recruiting Store Sales Forecasting
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41
R code for Kaggle's Walmart Recruiting  Store Sales Forecasting
Timeseries_sp500_r
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41
Ncovforecast
⭐
39
Code for nCov forecasting tool (Shiny app)
Modeltime.h2o
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38
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
Dbnr
⭐
38
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
Scoringutils
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38
Utilities for Scoring and Assessing Predictions
Modeltime.gluonts
⭐
37
GluonTS Deep Learning with Modeltime
Mfgarch
⭐
37
An R package for using mixedfrequency GARCH models
Automatedforecastingwithshiny
⭐
35
Fully automated GDP forecasting with R/shiny
Forecastveg
⭐
34
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
Probcast
⭐
30
ProbCast: an R Package for Flexible Probabilistic Forecasting
Nnfor
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28
Forecasting_with_r_practices
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27
Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.
Forestatrisk Tropics
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27
🌍 📝 Modelling and forecasting deforestation in the tropics
Toy Us Election Simulator
⭐
26
A very simple model for forecasting elections with polls and demographic data
Googleanalyticsprophetr
⭐
26
Applying Facebook's prophet on Google Analytics data
Greybox
⭐
25
Regression model building and forecasting in R
Demest
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21
Bayesian demographic estimation and forecasting.
Mf Bavart
⭐
20
MFBAVART model introduced in "Nowcasting in a Pandemic using NonParametric Mixed Frequency VARs"
Tsensembler
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19
R package  Dynamic Ensembles for Time Series Forecasting
Ahead
⭐
17
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
Coronadash
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17
COVID19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Performance_estimation
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17
Performance estimation for time series forecasting tasks
Modeltime.resample
⭐
17
Resampling Tools for Time Series Forecasting with Modeltime
Tscompdata
⭐
17
Time series competition data
Powerbi Visuals Forcasting Exp
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16
Rpowered custom visual. Based on exponential smoothing time series forecasting
Lassovar
⭐
16
Estimation and forecasting of VAR model with the Lasso
Healthyr.ts
⭐
16
A timeseries companion package to healthyR
Fma
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16
Data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright & Hyndman (1998)
Sknifedatar
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16
sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.
Mapa
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15
MAPA package for R
Forecasting_book_club
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15
Forecasting Book Club
Hyfo
⭐
15
Hydrology and Climate Forecasting R package
Covid 19 Ili Forecasting
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14
COVID19 ILI forecasting for the U.S.
Foreco
⭐
14
Point Forecast Reconciliation  Provides classical (bottomup), optimal and heuristic combination forecast reconciliation procedures for crosssectional, temporal, and crosstemporal linearly constrained time series.
Covidcompare
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13
Global COVID19 Forecast Comparison
Loader
⭐
13
A climate4R package for data access
Mlforforecasting
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13
Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
Predictor
⭐
12
A forecasting tool for time series, Long Term Prediction.
Nowcastdfm
⭐
12
Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.
Rnn Lstm Timeseries_forecasting
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12
Time Series Forecasting using Recurrent Neural Network  LSTM model using Keras Library for deep learning.
Mcomp
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11
Data from the Mcompetitions
Torchts
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11
Time series with torch
Churnado
⭐
10
Churn forecasting tool
Textforecast
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10
Forecasting and Regression Analysis using textual data.
Tsutils
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9
The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.
Deepide
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9
Deep IDE Models for SpatioTemporal Forecasting
Forecastbenchmark
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9
Libra, a forecasting benchmark, automatically evaluates and ranks forecasting methods based on their performance in a diverse set of evaluation scenarios. The benchmark comprises four different use cases, each covering 100 heterogeneous time series taken from different domains.
Telescope
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9
Telescope is a hybrid multistepahead forecasting approach based on time series decomposition.
Tsfknn
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9
Time Series Forecasting Using KNN
Echos
⭐
9
Echo State Networks for Time Series Forecasting
Droughtr
⭐
9
An R package for nonstationary meteorological drought monitoring
Greek Electric Load Forecasting Ipto
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9
This repo contains the code for my postgraduate thesis dealing with Shortterm Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, Rmarkdown and RShiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.). A presentation of the thesis' results can be found at the following website:
Portalcasting
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8
Model development, deployment, and evaluation for forecasting Portal ecosystem dynamics
Nowcastlstm
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8
R wrapper for nowcast_lstm Python library. Long shortterm memory neural networks for economic nowcasting.
Rbatchscoring
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8
Batch Scoring with R Models
Cptec
⭐
8
An R interface to the CPTEC/INPE API
Msm
⭐
8
An R package for forecasting volatility, using the Markov Switching Multifractal model.
Prophetext
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8
Extension for Facebook Prophet
Cortana Intelligence Shipping And Distribution Forecasting
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8
Cortana Intelligence Solution for Shipping and Distribution Forecasting
Msgarch_comp
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7
Comparison of MarkovSwitching GARCH models, namely symmetric GARCH, EGARCH, GJRGARCH, performances in ValueatRisk forecasting.
Work_ensemble_forecast_methods
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7
Powerbi Visuals Forcastingarima
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7
An Rpowered custom visual implementing Autoregressive Integrated Moving Average (ARIMA) modeling for the forecasting. Time series forecasting is the use of a model to predict future values based on previously observed values.
Epidemiar
⭐
7
R package with modeling, forecasting, and early detection & early warning alerts code for EPIDEMIA forecasting reports. The Epidemic Prognosis Incorporating Disease and Environmental Monitoring for Integrated Assessment (EPIDEMIA) Forecasting System is a set of tools coded in free, openaccess software, that integrate surveillance and environmental data to model and create shortterm forecasts for environmentallymediated diseases. For producing formatted reports, see also the demo project base
Rafa
⭐
7
R Automatic Forecasting Algorithm
Av_ultimate_student_hunt
⭐
7
Solution for the Ultimate Student Hunt Challenge (1st place).
Walmart Forecasting Nn
⭐
7
Walmart weekly sales forecasting, Missing data imputation, Neural network, Support Vector Machines
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