Alternatives and similar repositories for ctgan

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

• ModelOriented / ingredients
  Effects and Importances of Model Ingredients
  ☆37Updated 2 years ago
• pbiecek / XAIatERUM2020
  Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
  ☆52Updated 4 years ago
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆58Updated 2 years ago
• Tirgit / missCompare
  missCompare R package - intuitive missing data imputation framework
  ☆39Updated 4 years ago
• keithmcnulty / r_and_py_models
  How to run Python ML models in R
  ☆17Updated 4 years ago
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 2 years ago
• r-tensorflow / autokeras
  Package: R Interface to AutoKeras
  ☆73Updated 4 years ago
• ModelOriented / DALEXtra
  Extensions for the DALEX package
  ☆67Updated last year
• business-science / modeltime.h2o
  Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
  ☆44Updated last year
• openpharma / simaerep
  simulate adverse event reporting in clinical trials with the goal of detecting under-reporting sites.
  ☆23Updated last week
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆83Updated last year
• mlverse / tabnet
  An R implementation of TabNet
  ☆113Updated last week
• ModelOriented / forester
  Trees are all you need
  ☆113Updated last year
• ModelOriented / modelDown
  modelDown generates a website with HTML summaries for predictive models
  ☆120Updated 3 years ago
• saraswatmks / superml
  Build machine learning models in R like using python's scikit-learn library
  ☆33Updated last year
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆49Updated 2 weeks ago
• bgreenwell / fastshap
  Fast approximate Shapley values in R
  ☆125Updated 3 months ago
• MangoTheCat / explainable-machine-learning-workshop
  Material for the Explainable Machine Learning Workshop
  ☆18Updated 5 years ago
• revodavid / mlops-r-gha
  ☆38Updated 4 years ago
• Mu-Sigma / analysis-pipelines
  Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as…
  ☆28Updated 4 years ago
• graemeleehickey / joineRML
  R package for fitting joint models to time-to-event data and multivariate longitudinal data
  ☆31Updated 7 months ago
• a-hanf / mlr3automl
  Automated machine learning in mlr3
  ☆27Updated 3 years ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆74Updated 2 weeks ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆69Updated 3 years ago
• alexzwanenburg / familiar
  Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.
  ☆30Updated this week
• pridiltal / ctv-AnomalyDetection
  CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒
  ☆108Updated 5 months ago
• ModelOriented / EloML
  R package EloML: Elo rating system for machine learning models
  ☆24Updated 3 years ago
• mlr-org / mlr-outreach
  ☆64Updated last year
• xtreamsrl / tsviz
  An RStudio addin to provide easy and interactive time series visualization
  ☆44Updated 4 years ago
• keaven / gsDesign
  Group sequential design for clinical trials
  ☆51Updated last week