NGO-Algorithm-Audit / unsupervised-bias-detectionLinks
Unsupervised bias detection tool for binary AI classifiers. Including qualitative approach to assess quantitative disparities.
☆28Updated 2 months ago
Alternatives and similar repositories for unsupervised-bias-detection
Users that are interested in unsupervised-bias-detection are comparing it to the libraries listed below
Sorting:
- Editing machine learning models to reflect human knowledge and values☆128Updated 2 years ago
- FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.☆11Updated 2 years ago
- Competing Risks and Survival Analysis☆113Updated 4 months ago
- Create sparse and accurate risk scoring systems!☆46Updated last year
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- simple customizable risk scores in python☆142Updated 2 years ago
- Datasets derived from US census data☆276Updated last year
- Repository for CARTE: Context-Aware Representation of Table Entries☆165Updated 5 months ago
- Public home of pycorels, the python binding to CORELS☆79Updated 5 years ago
- A library that implements fairness-aware machine learning algorithms☆127Updated 5 years ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆33Updated 2 months ago
- ☆272Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- ☆76Updated last year
- DRAFT : Dataset Reconstruction Attack From Trained ensembles. Source code associated with the paper "Trained Random Forests Completely Re…☆19Updated 5 months ago
- Generalized Optimal Sparse Decision Trees☆60Updated 8 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago
- this repo might get accepted☆28Updated 5 years ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆256Updated this week
- A toolbox for fair and explainable machine learning☆55Updated last year
- Bias Auditing & Fair ML Toolkit☆747Updated this week
- Comparing fairness-aware machine learning techniques.☆161Updated 3 years ago
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- AutoML for causal inference.☆236Updated last year
- A library of Reversible Data Transforms☆131Updated last week
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 6 months ago
- A scikit-learn-compatible module for comparing imputation methods.☆139Updated last month
- A Natural Language Interface to Explainable Boosting Machines☆69Updated last year
- [Experimental] Global causal discovery algorithms☆112Updated 3 weeks ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆107Updated this week