Alternatives and similar repositories for bayes-time-series

Users that are interested in bayes-time-series are comparing it to the libraries listed below

• robjhyndman / M4metalearning
  ☆118Updated 6 years ago
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆130Updated 5 years ago
• statcompute / mob
  Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
  ☆59Updated 5 years ago
• robjhyndman / ETC3550Slides
  Slides for a forecasting course based on "Forecasting: Principles and Practice"
  ☆172Updated last year
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆94Updated this week
• AlbertoAlmuinha / boostime
  The Tidymodels Extension for Time Series Boosting Models
  ☆59Updated 3 years ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 3 years ago
• pbiecek / ema
  Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
  ☆197Updated last year
• ykang / gratis
  GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
  ☆77Updated last year
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 4 years ago
• cran-task-views / AnomalyDetection
  CRAN Task View: Anomaly Detection
  ☆110Updated 3 months ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆258Updated 7 years ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated 2 years ago
• business-science / modeltime.ensemble
  Time Series Ensemble Forecasting
  ☆80Updated last month
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆84Updated 2 years ago
• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆47Updated 6 years ago
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆116Updated 3 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆112Updated last year
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• business-science / modeltime.gluonts
  GluonTS Deep Learning with Modeltime
  ☆43Updated 2 years ago
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆60Updated 2 months ago
• robjhyndman / fpp3
  All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …
  ☆151Updated 5 months ago
• AdrianAntico / AutoQuant
  Automation framework for machine learning, forecasting, model evaluation, and interpretation.
  ☆245Updated last month
• vcerqueira / tsensembler
  R package - Dynamic Ensembles for Time Series Forecasting
  ☆35Updated 5 years ago
• ayhandis / creditR
  A Credit Risk Scoring Modeling and Validation Package
  ☆67Updated 6 years ago
• tidyverts / fasster
  Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors
  ☆149Updated this week
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆175Updated last week
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 5 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year