Alternatives and similar repositories for rbm:

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

• 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
• eddelbuettel / rvowpalwabbit
  R interface to the Vowpal Wabbit
  ☆23Updated 2 months ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 2 years ago
• xsankar / deepLearnR
  R interface to Tensorflow via skflow
  ☆18Updated 8 years ago
• rcppmlpack / RcppMLPACK1
  ☆60Updated 4 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆75Updated 11 years ago
• sorhawell / forestFloor
  R package to visualize mapping structures of random forests with feature contributions
  ☆42Updated 3 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆22Updated 8 years ago
• wrathematics / RparallelGuide
  A guide to parallel R, including OpenMP. Kind of.
  ☆38Updated 9 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated 9 months ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 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…
  ☆19Updated 11 months ago
• dmarcous / CRAN_deepboost
  Deepboost R-package for submission
  ☆19Updated 7 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated 11 months ago
• sanealytics / recommenderlabrats
  Some recommendation algorithms and research
  ☆12Updated 8 years ago
• rstudio / sparkapi
  Sparklyr Extensions API
  ☆31Updated 8 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• kshirley / summarytrees
  R package to compute and visualize summary trees
  ☆34Updated 9 years ago
• zmjones / rfss
  "Exploratory Data Analysis using Random Forests"
  ☆18Updated 8 years ago
• szilard / ML-scoring
  Compare the scoring speed of several open source machine learning libraries.
  ☆21Updated 7 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
• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 10 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• davpinto / elmnet
  Regularized and Pruned Extreme Learning Machines in R
  ☆11Updated 8 years ago
• nullsatz / gputools
  gputools R package for gpu computing
  ☆68Updated 6 years ago
• mbq / Boruta
  Migrated to GitLab
  ☆19Updated last year
• markajoc / condvis
  Visualisation for statistical models.
  ☆20Updated 6 years ago
• kaneplusplus / ioregression
  An R package for out-of-core regressions
  ☆14Updated 6 years ago
• jaredhuling / bigFastlm
  A reimplementation of the fastLm function of RcppEigen for big.matrix objects for fast out-of-memory linear model fitting
  ☆13Updated 7 years ago
• rtrangucci / gps_in_stan
  ☆12Updated 7 years ago