Alternatives and similar repositories for selective:

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

• fidelity / textwiser
  [AAAI 2021] TextWiser: Text Featurization Library
  ☆54Updated 2 months ago
• fidelity / boolxai
  BoolXAI is a research library for machine learning for Explainable AI (XAI) based on expressive Boolean formulas.
  ☆15Updated 3 months ago
• fidelity / jurity
  [ACM 2024] Jurity: Fairness & Evaluation Library
  ☆50Updated 4 months ago
• fidelity / seq2pat
  [AAAI 2022] Seq2Pat: Sequence-to-Pattern Generation Library
  ☆130Updated 2 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆203Updated 9 months ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 2 years ago
• fidelity / mab2rec
  [AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
  ☆133Updated 4 months ago
• scikit-mine / scikit-mine
  scikit-mine : pattern mining in Python
  ☆73Updated last year
• ing-bank / probatus
  Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
  ☆134Updated last week
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆145Updated last year
• manujosephv / GATE
  ☆18Updated 2 years ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• fidelity / mabwiser
  [IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
  ☆220Updated 5 months ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆61Updated 4 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated 6 months ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆50Updated 9 months ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 5 months ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 4 years ago
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆129Updated 2 months ago
• rapidsai / gputreeshap
  ☆94Updated 6 months ago
• patrickzib / motiflets
  Motiflets
  ☆47Updated 3 months ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆126Updated 2 weeks ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆53Updated last month
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated last year
• 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
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆42Updated last year
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated 2 months ago