dssg / aequitas
Bias Auditing & Fair ML Toolkit
☆703Updated 4 months ago
Alternatives and similar repositories for aequitas:
Users that are interested in aequitas are comparing it to the libraries listed below
- ☆362Updated 3 years ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆424Updated 7 months ago
- A library that implements fairness-aware machine learning algorithms☆124Updated 4 years ago
- H2O.ai Machine Learning Interpretability Resources☆483Updated 4 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,373Updated last month
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 7 months ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- A Python package to assess and improve fairness of machine learning models.☆1,988Updated this week
- A toolkit that streamlines and automates the generation of model cards☆427Updated last year
- ☆313Updated last year
- Algorithms for explaining machine learning models☆2,429Updated last month
- A command line tool to easily add an ethics checklist to your data science projects.☆291Updated 6 months ago
- Source code/webpage/demos for the What-If Tool☆931Updated 4 months ago
- detect demographic differences in the output of machine learning models or other assessments☆313Updated 4 years ago
- Interpretability and explainability of data and machine learning models☆1,652Updated 6 months ago
- General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems☆187Updated 3 weeks ago
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆345Updated this week
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,498Updated last month
- python partial dependence plot toolbox☆849Updated 4 months ago
- Python code for training fair logistic regression classifiers.☆190Updated 3 years ago
- XAI - An eXplainability toolbox for machine learning☆1,146Updated 3 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,393Updated 3 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆422Updated 4 months ago
- Data and analysis for 'Machine Bias'☆634Updated 7 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 4 years ago
- Hands-on tutorial on ML Fairness☆70Updated last year
- Editing machine learning models to reflect human knowledge and values☆123Updated last year