Alternatives and similar repositories for rhpp-2015:

Users that are interested in rhpp-2015 are comparing it to the libraries listed below

• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆60Updated 2 years ago
• WinVector / ExploreModels
  Code and data for "The Geometry of Classifiers"
  ☆26Updated 4 years ago
• rstudio / sparkapi
  Sparklyr Extensions API
  ☆31Updated 8 years ago
• ledell / h2oEnsemble-benchmarks
  Benchmarks of the H2O Ensemble R interface (H2O 2.0).
  ☆14Updated 4 years ago
• rcppmlpack / RcppMLPACK1
  ☆60Updated 4 years ago
• Rth-org / Rth
  Norm Matloff's Rth package
  ☆54Updated 9 years ago
• RBigData / pbdDMAT
  Distributed matrix classes and methods for the pbdR project.
  ☆16Updated 4 months ago
• jwijffels / RMOA
  Connect R to MOA for massive online data stream mining
  ☆37Updated 2 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• WinVector / WinVector.github.io
  Viewable pages from WinVector LLC view at: http://winvector.github.io
  ☆23Updated last month
• jjallaire / TBB
  Intel TBB Package for R/Rcpp
  ☆14Updated 10 years ago
• Laurae2 / lgbdl
  LightGBM Online Installer [ devtools::install_github("Laurae2/lgbdl") ]
  ☆16Updated 6 years ago
• rajshah4 / outliers_shiny
  2D Outlier Analysis using Shiny
  ☆47Updated 2 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• sanealytics / recommenderlabrats
  Some recommendation algorithms and research
  ☆12Updated 8 years ago
• AndreaCirilloAC / Afraus
  unsupervised multi-model fraud-detection algorithm √
  ☆11Updated 9 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆45Updated 9 years ago
• h2oai / rsparkling
  RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
  ☆63Updated 6 years ago
• PacktPublishing / Learning-Probabilistic-Graphical-Models-in-R
  Learning Probabilistic Graphical Models in R
  ☆29Updated 2 years ago
• igraph / igraphdata
  Data sets for the igraph R package
  ☆51Updated 2 months ago
• mb706 / automlr
  ☆25Updated 7 years ago
• datalayer-attic / zeppelin
  Apache Zeppelin on Kubernetes.
  ☆28Updated 5 years ago
• sureshgorakala / RecommenderSystems_R
  Scripts for recommender systems
  ☆13Updated 8 years ago
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆20Updated last year
• trestletech / user2016-sparklyr
  ☆20Updated 8 years ago
• DarrenCook / h2o
  For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)
  ☆90Updated 7 years ago
• mbq / Boruta
  Migrated to GitLab
  ☆19Updated last year
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 7 years ago