paobranco / UBL

Related projects ⓘ

Alternatives and complementary repositories for UBL

• giuseppec / featureImportance
  An R package to assess feature importance
  ☆33Updated 3 years ago
• davpinto / fastknn
  Fast k-Nearest Neighbors Classifier for Large Datasets
  ☆67Updated 7 years ago
• jkrijthe / RSSL
  A Semi-Supervised Learning package for the R programming language
  ☆58Updated 11 months ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆34Updated 8 months ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• gabrielrvsc / BooST
  ☆17Updated 3 years ago
• jaroslav-kuchar / fpmoutliers
  Algorithms for detection of outliers based on frequent pattern mining
  ☆20Updated 7 years ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆18Updated 5 years ago
• ymattu / MlBayesOpt
  R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…
  ☆45Updated 4 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆110Updated 3 months ago
• jakob-r / mlrHyperopt
  Easy Hyper Parameter Optimization with mlr and mlrMBO.
  ☆30Updated 2 years ago
• redichh / ShapleyR
  Package for a nice and smoothe usage of the shapley value for mlr
  ☆25Updated 5 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆46Updated last year
• andland / libFMexe
  libFM R package
  ☆26Updated 8 years ago
• lantanacamara / lightgbmExplainer
  An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…
  ☆23Updated 5 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆121Updated 2 years ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆80Updated 2 years ago
• Laurae2 / lgbdl
  LightGBM Online Installer [ devtools::install_github("Laurae2/lgbdl") ]
  ☆16Updated 5 years ago
• pridiltal / oddstream
  oddstream {Outlier Detection in Data STREAMs}
  ☆64Updated 4 years ago
• robjhyndman / tscompdata
  Time series competition data
  ☆18Updated last year
• gravesee / isofor
  Isolation Forest implementation in R
  ☆65Updated 5 years ago
• marjoleinF / pre
  an R package for deriving Prediction Rule Ensembles
  ☆58Updated 5 months ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆72Updated 2 weeks ago
• cran-task-views / ModelDeployment
  CRAN Task View: Model Deployment with R
  ☆20Updated 2 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 2 years ago
• slds-lmu / paper_2019_iml_measures
  Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition
  ☆16Updated 4 years ago
• szilard / GBM-tune
  Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
  ☆21Updated 7 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆48Updated 7 years ago
• mb706 / automlr
  ☆25Updated 6 years ago
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆19Updated 9 months ago