Alternatives and similar repositories for shap-select:

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

• microsoft / ticl
  Tabular In-Context Learning
  ☆58Updated last month
• PriorLabs / tabpfn-extensions
  Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
  ☆109Updated this week
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆108Updated 9 months ago
• autogluon / tabrepo
  Compare and ensemble models without retraining
  ☆54Updated this week
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆119Updated 3 weeks ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 8 months ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆95Updated last week
• 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
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆131Updated last month
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 2 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated 9 months ago
• ersilia-os / chempfn
  Ensemble-based, size-agnostic wrapper for the TabPFN classifier
  ☆31Updated 11 months ago
• awslabs / amazon-denseclus
  Clustering for mixed-type data
  ☆99Updated 8 months ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆55Updated last year
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆37Updated this week
• 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
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆54Updated 3 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆65Updated this week
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆267Updated this week
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• team-daniel / MC-CP
  All the material needed to use MC-CP and the Adaptive MC Dropout method
  ☆22Updated 7 months ago
• blei-lab / treeffuser
  Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …
  ☆43Updated 2 months ago
• tomer1812 / pydts
  ☆23Updated this week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆205Updated 11 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆112Updated 2 months ago
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆57Updated 2 years ago