Alternatives and similar repositories for R-Deep-Learning

Users that are interested in R-Deep-Learning are comparing it to the libraries listed below

• dlab-berkeley / Machine-Learning-in-R
  Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
  ☆192Updated 4 years ago
• dlab-berkeley / R-Machine-Learning-Legacy
  D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using t…
  ☆45Updated 2 years ago
• jbryer / psa
  Propensity Score Analysis with R
  ☆90Updated 6 months ago
• rstudio-conf-2020 / rmarkdown-dashboard
  The R Markdown and Interactive Dashboards Workshp at rstudio::conf 2020
  ☆65Updated 5 years ago
• rstudio-conf-2020 / data-science-tidy
  Materials for Introduction to Data Science in the Tidyverse, a two-day workshop @ rstudio::conf 2020
  ☆74Updated 5 years ago
• rstudio-conf-2020 / intro-to-ml-tidy
  Intro to Machine Learning with the Tidyverse
  ☆181Updated 5 years ago
• m-clark / models-by-example
  By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
  ☆72Updated 4 years ago
• sctyner / history_of_statistics
  Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.
  ☆169Updated 3 years ago
• michaelhallquist / MplusAutomation
  The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation u…
  ☆92Updated last month
• andrewheiss / datavizm20.classes.andrewheiss.com
  🎓 GSU MPA/MPP course on data visualization with R and ggplot2
  ☆85Updated 5 years ago
• m-clark / mixed-models-with-R
  Covers the basics of mixed models, mostly using @lme4
  ☆143Updated 3 years ago
• rstudio-conf-2020 / big-data
  Use dplyr to analyze Big Data
  ☆110Updated 5 years ago
• DARTH-git / Microsimulation-tutorial
  Code of the Microsimulation tutorial
  ☆67Updated 6 years ago
• lgatto / IntroMachineLearningWithR
  An Introduction to Machine Learning with R
  ☆84Updated 2 years ago
• resulumit / rmd_workshop
  Materials for a workshop on writing reproducible research papers with R Markdown
  ☆129Updated 3 years ago
• timchurches / blog
  Personal blog
  ☆40Updated 5 years ago
• lbraglia / RStata
  [R package]: A R-Stata interface
  ☆113Updated 6 months ago
• EmilHvitfeldt / useR2020-text-modeling-tutorial
  ☆57Updated 5 years ago
• jacob-long / jtools
  Tools for summarizing/visualizing regressions and other helpful stuff
  ☆167Updated last year
• jeromyanglim / lavaan-examples
  A repository with a few examples of using lavaan to perform structural equation modelling, CFA, path analysis, etc.
  ☆35Updated 13 years ago
• DeclareDesign / estimatr
  estimatr: Fast Estimators for Design-Based Inference
  ☆133Updated 7 months ago
• Pakillo / rmdTemplates
  Rmarkdown templates for reproducible science
  ☆129Updated 3 years ago
• tinystats / teacups-giraffes-and-statistics
  Online teaching modules for stats and R coding inside a fictional narrative about a miniature giraffe species.
  ☆190Updated 3 years ago
• n8thangreen / health_economics_R_packages
  List of health economics R packages.
  ☆81Updated 6 months ago
• rstudio-conf-2020 / dataviz
  Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop
  ☆85Updated 5 years ago
• schochastics / networkdata
  R package containing several network datasets
  ☆145Updated 3 weeks ago
• jessesadler / intro-to-r
  Scripts and data to go along with introductions to R
  ☆58Updated 7 years ago
• dlab-berkeley / advanced-data-wrangling-in-R-legacy
  Advanced-data-wrangling-in-R, Workshop
  ☆15Updated 3 years ago
• rstudio-conf-2020 / applied-ml
  Code and Resources for "Applied Machine Learning"
  ☆163Updated 5 years ago
• ASKurz / Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse
  The bookdown version lives here: https://bookdown.org/content/3686
  ☆152Updated 5 months ago