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.☆160Dec 26, 2022Updated 3 years ago
- ☆369May 10, 2021Updated 5 years ago
- A post-processing method to create fair rankings wrt ranked group fairness☆15Jun 5, 2019Updated 7 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
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- detect demographic differences in the output of machine learning models or other assessments☆322Jul 29, 2020Updated 6 years ago
- Accompanying source code for "Runaway Feedback Loops in Predictive Policing"☆16Dec 13, 2017Updated 8 years ago
- A library that implements fairness-aware machine learning algorithms☆126Oct 21, 2020Updated 5 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
- XReason - formal reasoning about explanations for ML models☆18May 16, 2025Updated last year
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆14May 10, 2017Updated 9 years ago
- Python code for training fair logistic regression classifiers.☆192Jan 10, 2022Updated 4 years ago
- Machine learning on electronic health records☆11Jan 29, 2018Updated 8 years ago
- H2O.ai Machine Learning Interpretability Resources☆489Dec 12, 2020Updated 5 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.
- Themis™ is a software fairness tester.☆109Aug 6, 2020Updated 6 years ago
- ☆10Jan 30, 2017Updated 9 years ago
- ☆25Aug 2, 2024Updated 2 years ago
- ☆125May 10, 2021Updated 5 years ago
- ☆40Mar 20, 2024Updated 2 years ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Jan 31, 2023Updated 3 years ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆15Jul 23, 2022Updated 4 years ago
- A collection of implementations of fair ML algorithms☆12Jan 7, 2018Updated 8 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆56Jul 18, 2018Updated 8 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.
- A simple model for classifying papers by academic venue (AI/ML/ACL), given a title and abstract. Bare-metal PyTorch port of https://gith…☆12Mar 22, 2018Updated 8 years ago
- Notebooks for Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations☆14Oct 3, 2019Updated 6 years ago
- this repo might get accepted☆28Feb 7, 2021Updated 5 years ago
- LOcal Rule-based Exlanations☆53Nov 28, 2023Updated 2 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆816Jul 19, 2022Updated 4 years ago
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,852Jun 15, 2026Updated last month
- Code for the TCAV ML interpretability project☆653Jul 22, 2026Updated 3 weeks ago
- Model Agnostic Counterfactual Explanations☆92Sep 30, 2022Updated 3 years ago
- A platform for unified linear and relational algebra analytics, built on the Accumulo NoSQL database☆13Feb 9, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰☆100Nov 17, 2023Updated 2 years ago
- Bias Auditing & Fair ML Toolkit☆769May 12, 2026Updated 3 months ago
- ⚖️ Code for the paper "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning".☆11Dec 8, 2022Updated 3 years ago
- Automated Programming Framework☆15May 11, 2020Updated 6 years ago
- An open source package that evaluate the fairness of a Neural Network using a fairness metric called p% rule.☆18Nov 13, 2018Updated 7 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Mar 10, 2021Updated 5 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆32Mar 24, 2023Updated 3 years ago