Alternatives and similar repositories for pipeliner

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

• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• pbiecek / ceterisParibus
  Ceteris Paribus Plots (What-If plots) for explanations of a single observation
  ☆42Updated 4 years 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
• ColinFay / conf
  Slides from various conferences
  ☆48Updated 7 years ago
• exploratory-io / exploratory_func
  R functions for Exploratory
  ☆62Updated last week
• ModelOriented / ingredients
  Effects and Importances of Model Ingredients
  ☆37Updated 2 years ago
• robjhyndman / Half-day-forecasting-workshop
  Forecasting workshop for ACEMS 2018
  ☆37Updated 6 years ago
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆59Updated 2 years ago
• paeselhz / RStudio-Shiny-Server-on-GCP
  The ultimate guide to deploy Rstudio Open Source and Shiny Server Open Source at Google Cloud Platform
  ☆45Updated 6 years ago
• drsimonj / pipelearner
  Tidy machine learning pipelines
  ☆133Updated 8 years ago
• pablo14 / funModeling
  R package: funModeling: data cleaning, importance variable analysis and model perfomance
  ☆100Updated 2 years ago
• davesteps / machLearn
  Machine learning dashboard created with R/shiny
  ☆81Updated 3 years ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆58Updated last year
• terrytangyuan / autoplotly
  Automatic Generation of Interactive Visualizations for Statistical Results
  ☆89Updated 2 years ago
• rdpeng / daprocedures
  ☆41Updated 6 years ago
• WinVector / replyr
  Patches for using dplyr with Databases and Big Data
  ☆67Updated 4 years ago
• STATWORX / bounceR
  Automated Feature Selection
  ☆65Updated 6 years ago
• topepo / DC-ML-2018
  Materials for the Applied Machine Learning Workshop in Washington DC
  ☆29Updated 6 years ago
• rstudio / graphframes
  R Interface for GraphFrames
  ☆37Updated 3 years ago
• drsimonj / twidlr
  data.frame-based API for model and predict functions
  ☆60Updated 8 years ago
• bearloga / maltese
  Little R utility package for making time series data more machine learning-friendly
  ☆49Updated 5 years ago
• dalpozz / unbalanced
  Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.
  ☆32Updated 3 years ago
• jcheng5 / user2016-tutorial-shiny
  ☆40Updated 7 years ago
• ellisp / ggseas
  seasonal adjustment on the fly extension for ggplot2
  ☆75Updated last month
• bborgesr / rstudio-conf-2018
  Drill-down data discovery with Shiny
  ☆38Updated 7 years ago
• cpsievert / plotcon17
  ☆40Updated 7 years ago
• mfrasco / Metrics
  An R package for common supervised machine learning metrics.
  ☆102Updated 5 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆80Updated 6 years ago
• WhyR2019 / presentations
  ☆22Updated 5 years ago