Alternatives and similar repositories for WeightedSHAP

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

• 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
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆106Updated this week
• tunguz / TabularBenchmarks
  ☆203Updated 2 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆128Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆68Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆282Updated last week
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆298Updated 2 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 2 months ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆549Updated 2 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆193Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆233Updated last year
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆365Updated 2 weeks ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆281Updated 2 years ago
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆117Updated 2 weeks ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 3 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆70Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆105Updated 2 years ago
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆177Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 2 months ago
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆320Updated 8 months ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• 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
  ☆77Updated 3 years ago
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆136Updated 9 months ago
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆242Updated 5 months ago