Alternatives and similar repositories for actionable-recourse

Users that are interested in actionable-recourse are comparing it to the libraries listed below

• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆161Updated 3 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆191Updated 4 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆119Updated 4 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• BeenKim / MMD-critic
  ☆135Updated 6 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• google / ml-fairness-gym
  ☆316Updated 2 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated 2 years ago
• dtak / rrr
  Code/figures in Right for the Right Reasons
  ☆57Updated 5 years ago
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆176Updated 4 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆127Updated 5 years ago
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated 2 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 7 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆276Updated last year
• dandls / moc
  Multi-Objective Counterfactuals
  ☆43Updated 3 years ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆74Updated 2 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆84Updated 3 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆29Updated 6 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated 2 years ago
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated 3 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆37Updated 4 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• SinaMohseni / ML-Interpretability-Evaluation-Benchmark
  This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data
  ☆30Updated 4 years ago
• megantosh / fairness_measures_code
  ☆40Updated last year
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆298Updated 2 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆36Updated 3 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago