Alternatives and similar repositories for scmamp

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

• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆79Updated 4 years ago
• citiususc / stac
  Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computa…
  ☆34Updated 5 years ago
• jakobbossek / smoof
  Single- and Multi-Objective Optimization Test Functions
  ☆36Updated last year
• mlr-org / mlrMBO
  Toolbox for Bayesian Optimization and Model-Based Optimization in R
  ☆188Updated last year
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 3 years ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆86Updated 2 years ago
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆175Updated 3 years ago
• giuseppec / iml
  iml: interpretable machine learning R package
  ☆501Updated 6 months ago
• rivolli / mfe
  Meta-Feature Extractor
  ☆29Updated 3 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆255Updated 7 years ago
• andland / logisticPCA
  Dimensionality reduction for binary data
  ☆51Updated 4 years ago
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆164Updated this week
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆141Updated 2 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• bd2kccd / r-causal
  R Wrapper for Tetrad Library
  ☆35Updated 11 months ago
• Blunde1 / agtboost
  Adaptive and automatic gradient boosting computations.
  ☆69Updated 3 years ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆75Updated 9 months ago
• janezd / baycomp
  ☆74Updated last year
• giuseppec / featureImportance
  An R package to assess feature importance
  ☆33Updated 4 years ago
• JacintoCC / rNPBST
  R package for Non Parametric and Bayesian Statistical Tests
  ☆11Updated 3 years ago
• rstats-gsoc / gsoc2017
  R project in Google Summer of Code 2017
  ☆107Updated 7 years ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆105Updated 2 years ago
• coseal / aslib_data
  Algorithm Selection scenario data
  ☆30Updated 2 years ago
• ncordon / smartdata
  R package for data preprocessing
  ☆13Updated 5 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆83Updated last year
• ustunb / slim-python
  simple customizable scoring systems in python
  ☆40Updated last year
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated 2 weeks ago