Alternatives and similar repositories for ML-scoring

Users that are interested in ML-scoring are comparing it to the libraries listed below

• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 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
• dmarcous / CRAN_deepboost
  Deepboost R-package for submission
  ☆19Updated 7 years ago
• eddelbuettel / rvowpalwabbit
  R interface to the Vowpal Wabbit
  ☆23Updated 9 months ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• sigopt / SigOptR
  SigOpt's public R client
  ☆14Updated 2 years ago
• bfgray3 / cattonum
  Encode Categorical Features (unmaintained)
  ☆32Updated 2 years ago
• vkrakovna / sbfc
  Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…
  ☆16Updated 3 years ago
• ja-thomas / hyperbandr
  ☆14Updated 7 years ago
• szilard / teach-ML-CEU-master-bizanalytics
  Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
  ☆22Updated 6 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆23Updated 9 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• flashxio / FlashR
  An R package extends R to process tera-scale datasets in parallel and out of core automatically.
  ☆16Updated 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'.
  ☆46Updated 10 years ago
• zmjones / rfss
  "Exploratory Data Analysis using Random Forests"
  ☆18Updated 9 years ago
• cnaumzik / caffeR
  ☆38Updated 9 years ago
• xsankar / deepLearnR
  R interface to Tensorflow via skflow
  ☆18Updated 9 years ago
• ijlyttle / user2016_knitr
  Examples used for useR! 2016 knitr tutorial
  ☆15Updated 9 years ago
• GoranMilovanovic / Distributional-Semantics-in-R
  Tutorial on text-mining and distributional semantics with {tm}, {openNLP}, and {topicmodels} in R. Based on my BelgradeR Meetup - Methods…
  ☆20Updated 8 years ago
• WLOGSolutions / digital_champions_deeplearning_r_mxnet
  Showcase for using R + MXNET along with AWS and bitfusion for deep learning.
  ☆19Updated 7 years ago
• smc77 / DeepRL
  ☆12Updated 7 years ago
• markajoc / condvis
  Visualisation for statistical models.
  ☆20Updated 6 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 4 months ago
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 6 years ago
• Yuchun-Zhang / R_largeList
  Store, append, read large lists in R without loading whole data into memory.
  ☆14Updated 8 years ago
• dcl-2017-01 / curriculum
  Draft syllabus for the Data Challenge Lab
  ☆23Updated 8 years ago
• mine-cetinkaya-rundel / ds-ed-enar2018
  Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018
  ☆20Updated 7 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago