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
• charliemarx / pmtools
  ☆9Updated 4 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆189Updated 3 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated last year
• dandls / moc
  Multi-Objective Counterfactuals
  ☆41Updated 2 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated last year
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 4 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆263Updated last year
• BeenKim / MMD-critic
  ☆134Updated 5 years ago
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated 2 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 4 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆109Updated last year
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆54Updated 6 years ago
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆52Updated last year
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆59Updated 5 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆137Updated last year
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated this week
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• lydiatliu / delayedimpact
  Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)
  ☆14Updated 2 years ago
• dtak / rrr
  Code/figures in Right for the Right Reasons
  ☆55Updated 4 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 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
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago