Alternatives and similar repositories for Laurae

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

• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆256Updated 7 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆228Updated last week
• ellisp / forecastxgb-r-package
  An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes
  ☆140Updated 8 years ago
• Keiku / kaggle-airbnb-recruiting-new-user-bookings
  2nd Place Solution in Kaggle Airbnb New User Bookings competition
  ☆129Updated 9 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 3 years ago
• gbm-developers / gbm3
  Gradient boosted models
  ☆146Updated last year
• brandenkmurray / kaggle
  Code used in Kaggle competitions
  ☆23Updated 8 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆285Updated 8 months ago
• dgrtwo / empirical-bayes-book
  Introduction to Empirical Bayes: Examples from Baseball Statistics
  ☆194Updated 4 years ago
• FrankPortman / bayesAB
  🐢 bayesAB: Fast Bayesian Methods for A/B Testing
  ☆315Updated 4 years ago
• owenzhang / Kaggle-AmazonChallenge2013
  my public kaggle code
  ☆79Updated 11 years ago
• wush978 / FeatureHashing
  Implement feature hashing with R
  ☆97Updated last year
• ujjwalkarn / xda
  R package for exploratory data analysis
  ☆120Updated 7 years ago
• mlr-org / mlrMBO
  Toolbox for Bayesian Optimization and Model-Based Optimization in R
  ☆188Updated 2 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• thomasp85 / lime
  Local Interpretable Model-Agnostic Explanations (R port of original Python package)
  ☆488Updated 3 years ago
• suiji / Arborist
  Scalable decision tree training and inference.
  ☆83Updated 7 months ago
• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆222Updated last year
• harrysouthworth / gbm
  Gradient boosted models
  ☆105Updated 10 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• jpmml / r2pmml
  R library for converting R models to PMML
  ☆74Updated 6 months ago
• klarsen1 / gampost
  ☆78Updated 10 years ago
• mlandry22 / kaggle
  Public Kaggle Code and Info
  ☆43Updated 9 years ago
• ModelOriented / randomForestExplainer
  A set of tools to understand what is happening inside a Random Forest
  ☆236Updated last year
• dselivanov / rsparse
  Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
  ☆178Updated 7 months ago
• tobigithub / caret-machine-learning
  Practical examples for the R caret machine learning package
  ☆69Updated 8 years ago