Alternatives and similar repositories for actionable-recourse

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

• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆189Updated 3 years ago
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆175Updated 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.
  ☆118Updated 4 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• BeenKim / MMD-critic
  ☆134Updated 6 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated 2 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆126Updated 4 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆292Updated last year
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆141Updated 2 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated last year
• marcotcr / anchor-experiments
  Experiments for AAAI anchor paper
  ☆63Updated 7 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated 2 years ago
• dtak / rrr
  Code/figures in Right for the Right Reasons
  ☆55Updated 4 years ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆42Updated 3 years ago
• google / ml-fairness-gym
  ☆316Updated 2 years ago
• jtcho / FairMachineLearning
  Implementation of provably Rawlsian fair ML algorithms for contextual bandits.
  ☆14Updated 8 years ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆55Updated 7 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆268Updated last year
• 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
  ☆29Updated 4 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆72Updated 2 years ago
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆44Updated 2 years ago