Alternatives and similar repositories for interpretable_decision_sets

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

• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆78Updated 4 years ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆189Updated 3 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆268Updated last year
• jirifilip / pyIDS
  An implementation of IDS (Interpretable Decision Sets) algorithm.
  ☆24Updated 4 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• google / ml-fairness-gym
  ☆316Updated 2 years ago
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆51Updated last year
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated last year
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆55Updated 7 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 5 years ago
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆105Updated 2 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆294Updated last year
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆42Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆84Updated 2 years ago
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆265Updated this week
• 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…
  ☆106Updated last year
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆175Updated 3 years ago
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆422Updated 2 years ago
• chenhongge / RobustTrees
  [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
  ☆67Updated 2 months ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated 2 years ago
• AishwaryaSivaraman / COMET
  Counterexample-Guided Learning of Monotonic Networks
  ☆18Updated 3 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆45Updated 3 months ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆221Updated 2 years ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago