aivodji / LaundryMLLinks
Code for our paper "Fairwashing: the risk of rationalization" (https://arxiv.org/abs/1901.09749) accepted at ICML 2019.
☆18Updated 2 years ago
Alternatives and similar repositories for LaundryML
Users that are interested in LaundryML are comparing it to the libraries listed below
Sorting:
- python tools to check recourse in linear classification☆76Updated 5 years ago
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆14Updated 8 years ago
- Comparing fairness-aware machine learning techniques.☆161Updated 3 years ago
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Updated 6 years ago
- ☆135Updated 6 years ago
- Supervised Local Modeling for Interpretability☆29Updated 7 years ago
- ☆40Updated last year
- ☆125Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- ☆316Updated 2 years ago
- A library that implements fairness-aware machine learning algorithms☆127Updated 5 years ago
- Research code for auditing and exploring black box machine-learning models.☆132Updated 2 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Updated 4 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆107Updated last year
- Practical ideas on securing machine learning models☆37Updated 4 years ago
- PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.☆73Updated 2 years ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 3 years ago
- A visual analytic system for fair data-driven decision making☆26Updated 3 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- A collection of implementations of fair ML algorithms☆12Updated 8 years ago
- PyTorch package to train and audit ML models for Individual Fairness☆66Updated 4 months ago
- ☆15Updated last year
- Python code for training fair logistic regression classifiers.☆191Updated 4 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 5 years ago
- this repo might get accepted☆28Updated 5 years ago
- Learning Certifiably Optimal Rule Lists☆176Updated 4 years ago
- Code/figures in Right for the Right Reasons☆57Updated 5 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Implementation of the estimator for combining noisy observations from Dawid and Skene (1979)☆40Updated 11 years ago