Alternatives and similar repositories for generalized-additive-models

Users that are interested in generalized-additive-models are comparing it to the libraries listed below

• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆62Updated 9 months ago
• danigiro / FoReco
  Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…
  ☆34Updated 2 weeks ago
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated 6 months ago
• jbrowell / ProbCast
  ProbCast: an R Package for Flexible Probabilistic Forecasting
  ☆32Updated 11 months ago
• crflynn / skranger
  scikit-learn compatible Python bindings for ranger C++ random forest library
  ☆53Updated 2 years ago
• alexhallam / tablespoon
  🥄✨Time-series Benchmark methods that are Simple and Probabilistic
  ☆41Updated last year
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆43Updated last year
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆111Updated 6 months ago
• Blunde1 / agtboost
  Adaptive and automatic gradient boosting computations.
  ☆68Updated 2 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• vincentarelbundock / pymarginaleffects
  ☆71Updated last month
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• Dralliag / opera
  Online Prediction by ExpeRt Aggregation
  ☆53Updated 7 months ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 2 years ago
• robjhyndman / STR_paper
  Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression
  ☆18Updated 3 years ago
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 2 months ago
• BerriJ / profoc
  R Package for Probabilistic Forecast Combination
  ☆14Updated 9 months ago
• rstudio / vetiver-python
  Version, share, deploy, and monitor models.
  ☆68Updated 3 months ago
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆45Updated 3 weeks ago
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆92Updated this week
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 7 months ago
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆57Updated 2 months ago
• robjhyndman / reconciliation_review_talk
  ☆12Updated 4 years ago
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆51Updated last year
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• tidyverts / fasster
  Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors
  ☆150Updated 2 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
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆32Updated 7 months ago
• stan-dev / cmdstanpy
  CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan progra…
  ☆170Updated last week
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆30Updated 2 weeks ago