Alternatives and similar repositories for ExKMC:

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

• awslabs / amazon-denseclus
  Clustering for mixed-type data
  ☆99Updated 8 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆144Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆267Updated last week
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆214Updated 2 months ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated 2 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆84Updated 2 years ago
• nathanwang000 / Shapley-Flow
  ☆50Updated last year
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆170Updated last year
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆131Updated 9 months ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆104Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆171Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆165Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• wwwjk366 / gower
  Python package for Gower distance
  ☆77Updated 10 months ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆137Updated this week
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆375Updated 8 months ago
• ryancheunggit / tabular_dae
  ☆52Updated 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…
  ☆100Updated 2 years ago
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆30Updated 2 years ago
• sherbold / autorank
  ☆76Updated 6 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆149Updated last year
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆179Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆164Updated 2 months ago
• arnedb / tsfuse
  Python package for automatically constructing features from multiple time series
  ☆40Updated 7 months ago
• ngoix / EMMV_benchmarks
  ☆47Updated 7 years ago