Alternatives and similar repositories for shap-clustering

Users that are interested in shap-clustering are comparing it to the libraries listed below

• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆37Updated 2 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆58Updated 4 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• erdogant / clusteval
  Clusteval provides methods for unsupervised cluster validation
  ☆67Updated last week
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 3 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated 2 years 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…
  ☆102Updated 3 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆92Updated 2 years ago
• awslabs / amazon-denseclus
  Clustering for mixed-type data
  ☆101Updated last year
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆42Updated 2 years ago
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆36Updated 2 weeks ago
• tunguz / UCI_Census_Income
  ☆17Updated 3 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆31Updated 2 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 9 months ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆136Updated 10 months ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated last year
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated 2 weeks ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆97Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆12Updated last year
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆28Updated 4 years ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 months ago