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 6 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆226Updated 2 months 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 3 months ago
• brandenkmurray / kaggle
  Code used in Kaggle competitions
  ☆23Updated 7 years ago
• Keiku / kaggle-airbnb-recruiting-new-user-bookings
  2nd Place Solution in Kaggle Airbnb New User Bookings competition
  ☆128Updated 8 years ago
• ellisp / forecastxgb-r-package
  An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes
  ☆140Updated 7 years ago
• wush978 / FeatureHashing
  Implement feature hashing with R
  ☆97Updated last year
• mlr-org / mlrMBO
  Toolbox for Bayesian Optimization and Model-Based Optimization in R
  ☆188Updated last year
• harrysouthworth / gbm
  Gradient boosted models
  ☆105Updated 10 years ago
• gbm-developers / gbm3
  Gradient boosted models
  ☆140Updated 11 months ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆123Updated 3 years ago
• dgrtwo / empirical-bayes-book
  Introduction to Empirical Bayes: Examples from Baseball Statistics
  ☆190Updated 4 years ago
• owenzhang / Kaggle-AmazonChallenge2013
  my public kaggle code
  ☆79Updated 11 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆86Updated last year
• ujjwalkarn / xda
  R package for exploratory data analysis
  ☆119Updated 7 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
• dselivanov / rsparse
  Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
  ☆175Updated 2 months ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• FrankPortman / bayesAB
  🐢 bayesAB: Fast Bayesian Methods for A/B Testing
  ☆314Updated 3 years ago
• robjhyndman / anomalous
  Anomalous time series package for R
  ☆92Updated 7 years ago
• mikeskim / dboost
  Stochastic Dummy Boosting
  ☆25Updated 9 years ago
• robjhyndman / anomalous-acm
  Anomalous time series package for R (ACM)
  ☆119Updated 7 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆111Updated 4 months ago
• stan-dev / shinystan
  shinystan R package and ShinyStan GUI
  ☆199Updated 3 months ago
• thomasp85 / lime
  Local Interpretable Model-Agnostic Explanations (R port of original Python package)
  ☆484Updated 2 years ago
• ledell / useR-machine-learning-tutorial
  useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
  ☆401Updated 7 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 7 years ago
• jpmml / r2pmml
  R library for converting R models to PMML
  ☆74Updated last month
• andland / libFMexe
  libFM R package
  ☆26Updated 8 years ago