Alternatives and similar repositories for BooST

Users that are interested in BooST are comparing it to the libraries listed below

• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 2 years ago
• ceweiss / ForecastComb
  Forecast Combination in R
  ☆30Updated 7 years ago
• schalkdaniel / compboost
  C++ implementation and R API for componentwise boosting
  ☆23Updated 2 years ago
• vcerqueira / tsensembler
  R package - Dynamic Ensembles for Time Series Forecasting
  ☆32Updated 4 years ago
• robjhyndman / tscompdata
  Time series competition data
  ☆18Updated 2 years ago
• ModelOriented / EIX
  Structure mining for xgboost model
  ☆26Updated 4 years ago
• bnaras / cvxr_tutorial
  useR! 2019 CVXR tutorial
  ☆29Updated 2 years ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 2 years ago
• tsrobinson / cjbart
  Heterogeneous effects analysis of conjoint experiments using BART
  ☆10Updated 2 years ago
• henckr / distRforest
  R implementation for random forests with distribution-based loss functions
  ☆25Updated 5 years ago
• andremonaco / cheapml
  Machine Learning algorithms coded from scratch
  ☆22Updated 4 years ago
• config-i1 / legion
  Multivariate models for forecasting purposes
  ☆12Updated 7 months ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆94Updated 3 weeks ago
• ModelOriented / hstats
  Friedman's H-statistics
  ☆31Updated 4 months ago
• softwaredeng / inTrees
  inTrees package
  ☆39Updated last year
• marjoleinF / pre
  an R package for deriving Prediction Rule Ensembles
  ☆58Updated 3 months ago
• boennecd / rollRegres
  R package for fast rolling and expanding linear regression models
  ☆22Updated 3 years ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated last year
• brian-j-smith / MachineShop
  MachineShop: R package of models and tools for machine learning
  ☆62Updated 3 months ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• bearloga / maltese
  Little R utility package for making time series data more machine learning-friendly
  ☆49Updated 5 years ago
• tidyverts / tsibbledata
  Example datasets for tsibble
  ☆27Updated 10 months ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• ModelOriented / xspliner
  Explain black box with GLM
  ☆23Updated 5 years ago
• jasonroy0 / BNP-short-course
  ☆14Updated 7 years ago
• coatless-rpkg / r-to-armadillo
  Converting base R code to Armadillo code for use with RcppArmadillo or for external programs (e.g. Matlab, Mathematica, ...)
  ☆30Updated last year
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• m-clark / more-mixed-models-2019
  Demonstration of alternatives to lme4
  ☆13Updated 6 years ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆75Updated 10 months ago