Alternatives and similar repositories for WeightedSHAP:

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

• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• tunguz / TabularBenchmarks
  ☆198Updated 3 weeks 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
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆266Updated this week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆203Updated 10 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆149Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆64Updated 2 weeks ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆67Updated 2 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆81Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆102Updated 2 years ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆106Updated last month
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆274Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆220Updated 3 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆147Updated 6 months ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆65Updated 8 months ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆173Updated 2 years ago
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆103Updated 9 months ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆264Updated 2 years ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆227Updated this week
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆131Updated last month
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆30Updated 2 years ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• DanaJomar / PyALE
  ALE Plots with python
  ☆62Updated 11 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆295Updated 9 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆168Updated last year
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆315Updated 2 months ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆165Updated 2 years ago