Alternatives and similar repositories for bayes-time-series

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

• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆130Updated 5 years ago
• robjhyndman / ETC3550Slides
  Slides for a forecasting course based on "Forecasting: Principles and Practice"
  ☆172Updated 9 months ago
• robjhyndman / M4metalearning
  ☆116Updated 6 years ago
• pbiecek / ema
  Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
  ☆192Updated last year
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 2 years ago
• statcompute / mob
  Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
  ☆60Updated 4 years ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 5 years ago
• pridiltal / ctv-AnomalyDetection
  CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒
  ☆108Updated 5 months ago
• sidravi1 / Blog
  ☆24Updated 5 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• actuarial-data-science / Tutorials
  Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
  ☆191Updated 9 months ago
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆57Updated last week
• ayhandis / creditR
  A Credit Risk Scoring Modeling and Validation Package
  ☆67Updated 6 years ago
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆93Updated this week
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆84Updated last year
• ykang / gratis
  GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
  ☆76Updated last year
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years 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 …
  ☆146Updated 11 months ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆83Updated 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
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 6 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
  ☆113Updated 2 years ago
• AdrianAntico / AutoQuant
  R package for automation of machine learning, forecasting, model evaluation, and model interpretation
  ☆246Updated 3 months ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 3 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆111Updated 8 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated last year
• business-science / modeltime.ensemble
  Time Series Ensemble Forecasting
  ☆79Updated last year