Alternatives and similar repositories for wittgenstein:

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

• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆411Updated last year
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆54Updated 7 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆625Updated last year
• DanaJomar / PyALE
  ALE Plots with python
  ☆59Updated 10 months ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆75Updated 4 years ago
• scikit-mine / scikit-mine
  scikit-mine : pattern mining in Python
  ☆72Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆162Updated last year
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆129Updated 7 months ago
• ing-bank / probatus
  Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
  ☆133Updated 5 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆165Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆223Updated last year
• sherbold / autorank
  ☆72Updated 4 months ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆209Updated last year
• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆19Updated 4 years ago
• wwwjk366 / gower
  Python package for Gower distance
  ☆76Updated 8 months ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆100Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆244Updated last year
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆161Updated this week
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆241Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆202Updated 8 months ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆59Updated last year
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆369Updated 6 months ago
• ngoix / EMMV_benchmarks
  ☆47Updated 7 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated last year
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆63Updated last year
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated last year
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated 6 months ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year