Alternatives and similar repositories for smartdata

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

• mlr-org / mlrCPO
  Composable Preprocessing Operators for MLR
  ☆37Updated 6 months ago
• redichh / ShapleyR
  Package for a nice and smoothe usage of the shapley value for mlr
  ☆26Updated 6 years ago
• pbiecek / ceterisParibus
  Ceteris Paribus Plots (What-If plots) for explanations of a single observation
  ☆42Updated 5 years ago
• saraswatmks / superml
  Build machine learning models in R like using python's scikit-learn library
  ☆33Updated last year
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆58Updated 2 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• mfrasco / Metrics
  An R package for common supervised machine learning metrics.
  ☆102Updated 6 years ago
• rdatsci / rtcl
  R tools for the command line
  ☆65Updated 5 years ago
• MangoTheCat / explainable-machine-learning-workshop
  Material for the Explainable Machine Learning Workshop
  ☆18Updated 6 years ago
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 3 weeks ago
• openml / openml-r
  R package to interface with OpenML
  ☆99Updated last year
• Tazinho / Tidyverse-Cookbook
  ☆23Updated 7 years ago
• r-tensorflow / autokeras
  Package: R Interface to AutoKeras
  ☆73Updated 4 years ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆59Updated 2 years ago
• gdkrmr / dimRed
  A Framework for Dimensionality Reduction in R
  ☆73Updated 8 months ago
• mlr-org / farff
  a faster arff parser
  ☆12Updated 4 years ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• wlandau / drake-examples
  Example workflows for the drake R package
  ☆56Updated 4 years ago
• tidymodels / model-implementation-principles
  recommendations for creating R modeling packages
  ☆41Updated 4 years ago
• mlr-org / mlr3fairness
  mlr3 extension for Fairness in Machine Learning
  ☆14Updated 6 months ago
• bgreenwell / pdp
  A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
  ☆98Updated 3 years ago
• ModelOriented / ingredients
  Effects and Importances of Model Ingredients
  ☆38Updated 2 years ago
• corels / rcppcorels
  R Bindings to the Certifiably Optimal Rule Lists (Corels) Learner
  ☆48Updated 3 months ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 4 years ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 9 years ago
• jakob-r / mlrHyperopt
  Easy Hyper Parameter Optimization with mlr and mlrMBO.
  ☆31Updated 4 years ago
• mlr-archive / mlr-tutorial
  The mlr package online tutorial
  ☆20Updated 7 years ago
• STATWORX / bounceR
  Automated Feature Selection
  ☆65Updated 7 years ago
• tidymodels / tidyposterior
  Bayesian comparisons of models using resampled statistics
  ☆102Updated 5 months ago