Alternatives and similar repositories for treeshap:

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

• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 4 years ago
• bgreenwell / fastshap
  Fast approximate Shapley values in R
  ☆119Updated last year
• ModelOriented / kernelshap
  Different SHAP algorithms
  ☆45Updated 6 months ago
• ModelOriented / hstats
  Friedman's H-statistics
  ☆30Updated last month
• ModelOriented / forester
  Trees are all you need
  ☆114Updated 9 months ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆67Updated 2 years ago
• agnesdeng / mixgb
  mixgb: multiple imputation through XGBoost
  ☆23Updated last month
• ModelOriented / shapviz
  SHAP Plots in R
  ☆90Updated last month
• Blunde1 / agtboost
  Adaptive and automatic gradient boosting computations.
  ☆68Updated 2 years ago
• koalaverse / vip
  Variable Importance Plots (VIPs)
  ☆187Updated last year
• ModelOriented / triplot
  Triplot: Instance- and data-level explanations for the groups of correlated features.
  ☆9Updated 4 years ago
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 2 years ago
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆153Updated this week
• karlkumbier / iRF2.0
  ☆14Updated 3 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆84Updated last year
• mlverse / tabnet
  An R implementation of TabNet
  ☆109Updated 4 months ago
• pablo14 / shap-values
  Shap values for model interpretation
  ☆63Updated 5 years ago
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆109Updated 2 years ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 2 years ago
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆131Updated 4 years ago
• ModelOriented / DALEXtra
  Extensions for the DALEX package
  ☆67Updated 7 months ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 5 months ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆87Updated last month
• kozodoi / fairness
  R package for computing and visualizing fair ML metrics
  ☆32Updated last year
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆29Updated last year
• mayer79 / missRanger
  Fast multivariate imputation by random forests.
  ☆69Updated 3 months ago
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆58Updated last year
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 4 months ago
• mayer79 / flashlight
  Machine learning explanations
  ☆22Updated 7 months ago
• dandls / counterfactuals
  counterfactuals: An R package for Counterfactual Explanation Methods
  ☆21Updated 4 months ago