Research code for auditing and exploring black box machine-learning models.
☆134May 24, 2023Updated 3 years ago
Alternatives and similar repositories for BlackBoxAuditing
Users that are interested in BlackBoxAuditing are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Comparing fairness-aware machine learning techniques.☆161Dec 26, 2022Updated 3 years ago
- ☆368May 10, 2021Updated 5 years ago
- Repo for GIAN fairness course☆54Dec 24, 2016Updated 9 years ago
- ☆58Apr 7, 2021Updated 5 years ago
- How (but not why) to do Twitter sociolinguistic analysis in the Unix Shell☆10Apr 19, 2016Updated 10 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- detect demographic differences in the output of machine learning models or other assessments☆321Jul 29, 2020Updated 5 years ago
- Accompanying source code for "Runaway Feedback Loops in Predictive Policing"☆16Dec 13, 2017Updated 8 years ago
- A visual analytic system for fair data-driven decision making☆27Dec 10, 2022Updated 3 years ago
- ☆33Jan 28, 2024Updated 2 years ago
- FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.☆11Mar 24, 2023Updated 3 years ago
- A library that implements fairness-aware machine learning algorithms☆126Oct 21, 2020Updated 5 years ago
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆14May 10, 2017Updated 9 years ago
- This repository contains the artifacts accompanied by the paper "Fair Preprocessing"☆13Jul 20, 2021Updated 4 years ago
- Interpret machine learning predictions using agnostic local feature importance based on Shapley Values.☆20Jul 22, 2025Updated 10 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python code for training fair logistic regression classifiers.☆192Jan 10, 2022Updated 4 years ago
- Impossible Maps | Olin College of Engineering, Spring 2019☆38May 6, 2019Updated 7 years ago
- Machine learning on electronic health records☆11Jan 29, 2018Updated 8 years ago
- Reasoning on the response of logical signaling networks with Answer Set Programming☆15Feb 10, 2026Updated 4 months ago
- Preconditioning Kernel Matrices☆15Jun 9, 2016Updated 10 years ago
- Data and analysis for 'Machine Bias'☆689Jun 13, 2017Updated 9 years ago
- Themis™ is a software fairness tester.☆109Aug 6, 2020Updated 5 years ago
- List of references about Machine Learning bias and ethics☆64Apr 26, 2023Updated 3 years ago
- ☆25Aug 2, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆40Mar 20, 2024Updated 2 years ago
- ☆124May 10, 2021Updated 5 years ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆14Jul 23, 2022Updated 3 years ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Jan 31, 2023Updated 3 years ago
- A collection of implementations of fair ML algorithms☆12Jan 7, 2018Updated 8 years ago
- A new framework to generate interpretable classification rules☆18Feb 11, 2023Updated 3 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆55Jul 18, 2018Updated 7 years ago
- this repo might get accepted☆28Feb 7, 2021Updated 5 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Jul 19, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the TCAV ML interpretability project☆653May 5, 2026Updated last month
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,820Updated this week
- LOcal Rule-based Exlanations☆53Nov 28, 2023Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆90Sep 30, 2022Updated 3 years ago
- Bias Auditing & Fair ML Toolkit☆761May 12, 2026Updated last month
- ⚖️ Code for the paper "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning".☆11Dec 8, 2022Updated 3 years ago
- Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰☆100Nov 17, 2023Updated 2 years ago