Alternatives and similar repositories for ReinforcementLearning

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

• markusdumke / reinforcelearn
  R Package for Reinforcement Learning
  ☆34Updated 3 years ago
• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• cnaumzik / caffeR
  ☆38Updated 9 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 8 months ago
• bnaras / cvxr_docs
  Source for CVXR website
  ☆30Updated last year
• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆47Updated 6 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆56Updated 6 years ago
• bnaras / cvxr_tutorial
  useR! 2019 CVXR tutorial
  ☆30Updated 2 years ago
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• mlr-org / mlrCPO
  Composable Preprocessing Operators for MLR
  ☆37Updated 5 months ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 8 years ago
• patperry / r-mbest
  Moment-Based Estimation for Hierarchical Models (R Package)
  ☆26Updated 7 months ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 9 years ago
• rdrr1990 / kerasformula
  A high-level interface to keras for R that takes advantage of formulas
  ☆50Updated 6 years ago
• dalpozz / unbalanced
  Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.
  ☆32Updated 3 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• marjoleinF / pre
  an R package for deriving Prediction Rule Ensembles
  ☆58Updated 6 months ago
• mlr-org / mlr-outreach
  ☆64Updated 2 years ago
• mlr-org / mlr3tuning
  Hyperparameter optimization package of the mlr3 ecosystem
  ☆58Updated 2 weeks ago
• mlr-org / mlr3cluster
  Cluster analysis for mlr3
  ☆25Updated 2 weeks ago
• rstudio / tfestimators
  R interface to TensorFlow Estimators
  ☆58Updated 3 months ago
• rstudio / cloudml
  R interface to Google Cloud Machine Learning Engine
  ☆65Updated last week
• openml / openml-r
  R package to interface with OpenML
  ☆99Updated last year
• jcheng5 / user2016-tutorial-shiny
  ☆40Updated 8 years ago
• topepo / user2018
  Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"
  ☆30Updated 7 years ago
• roualdes / stan_cheatsheets
  A collection of RStudio style cheatsheets for the Stan ecosystem
  ☆58Updated 5 years ago
• xfim / ggmcmc
  Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
  ☆111Updated 2 months ago
• lantanacamara / lightgbmExplainer
  An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…
  ☆23Updated 6 years ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆77Updated last year
• smilesun / rlR
  Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)
  ☆26Updated 6 years ago