DataResponsibly / FairPrepLinks
FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.
☆11Updated 2 years ago
Alternatives and similar repositories for FairPrep
Users that are interested in FairPrep are comparing it to the libraries listed below
Sorting:
- this repo might get accepted☆28Updated 5 years ago
- FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning☆39Updated last year
- python tools to check recourse in linear classification☆76Updated 5 years ago
- Comparing fairness-aware machine learning techniques.☆161Updated 3 years ago
- A collection of implementations of fair ML algorithms☆12Updated 8 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- ☆272Updated last year
- ☆58Updated 4 years ago
- A visual analytic system for fair data-driven decision making☆26Updated 3 years ago
- A library that implements fairness-aware machine learning algorithms☆127Updated 5 years ago
- A toolbox for fair and explainable machine learning☆55Updated last year
- Public home of pycorels, the python binding to CORELS☆79Updated 5 years ago
- Research code for auditing and exploring black box machine-learning models.☆132Updated 2 years ago
- Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central …☆48Updated last year
- Editing machine learning models to reflect human knowledge and values☆128Updated 2 years ago
- Datasets derived from US census data☆276Updated last year
- ☆40Updated last year
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 5 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Inspect ML Pipelines in Python in the form of a DAG☆70Updated last year
- ☆21Updated 5 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Python package for creating rule-based explanations for classifiers.☆60Updated 6 years ago
- Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!☆26Updated last month
- Fairness toolkit for pytorch, scikit learn and autogluon☆33Updated 2 months ago
- Practical ideas on securing machine learning models☆37Updated 4 years ago
- ☆316Updated 2 years ago
- Learning Certifiably Optimal Rule Lists☆176Updated 4 years ago
- Unified slicing for all Python data structures.☆37Updated 6 months ago
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆56Updated last year