Alternatives and similar repositories for ctv-AnomalyDetection

Users that are interested in ctv-AnomalyDetection are comparing it to the libraries listed below

• koalaverse / vip
  Variable Importance Plots (VIPs)
  ☆189Updated last year
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆93Updated 2 weeks ago
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆130Updated 5 years ago
• tidymodels / embed
  Extra recipes for predictor embeddings
  ☆143Updated 4 months ago
• bgreenwell / fastshap
  Fast approximate Shapley values in R
  ☆125Updated 3 months ago
• rstudio-conf-2020 / time-series-forecasting
  ☆223Updated 5 years ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 2 years ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆69Updated 3 years ago
• pbiecek / XAIatERUM2020
  Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
  ☆52Updated 3 years ago
• mitchelloharawild / fable.prophet
  fable extension for the prophet forecasting procedure
  ☆57Updated last year
• mlr-org / mlr-outreach
  ☆64Updated last year
• mlverse / tabnet
  An R implementation of TabNet
  ☆113Updated last month
• AlbertoAlmuinha / bayesmodels
  The Tidymodels Extension for Bayesian Models
  ☆55Updated 3 years ago
• tidyverts / fabletools
  General fable features useful for extension packages
  ☆94Updated 6 months ago
• ModelOriented / modelDown
  modelDown generates a website with HTML summaries for predictive models
  ☆120Updated 3 years ago
• rstudio-conf-2020 / dataviz
  Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop
  ☆85Updated 5 years ago
• business-science / correlationfunnel
  Speed Up Exploratory Data Analysis (EDA)
  ☆139Updated last year
• ModelOriented / forester
  Trees are all you need
  ☆113Updated last year
• r-causal / causal_inference_r_workshop
  Causal Inference in R Workshop
  ☆201Updated 2 weeks ago
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆113Updated 2 years ago
• tidymodels / tidyposterior
  Bayesian comparisons of models using resampled statistics
  ☆102Updated 3 weeks ago
• business-science / sweep
  Extending broom for time series forecasting
  ☆155Updated last year
• EmilHvitfeldt / ISLR-tidymodels-labs
  ☆177Updated 4 months ago
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆58Updated 2 years ago
• mlr-org / mlr3pipelines
  Dataflow Programming for Machine Learning in R
  ☆144Updated this week
• tidymodels / themis
  Extra recipes steps for dealing with unbalanced data
  ☆141Updated 4 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
• LucyMcGowan / user2020-causal-inference
  ☆77Updated 5 years ago
• tidymodels / tidypredict
  Run predictions inside the database
  ☆259Updated last month
• r-spark / the-r-in-spark
  Mastering Apache Spark with R
  ☆131Updated 3 years ago