pymetrics / audit-ai
detect demographic differences in the output of machine learning models or other assessments
☆316Updated 4 years ago
Alternatives and similar repositories for audit-ai:
Users that are interested in audit-ai are comparing it to the libraries listed below
- ☆362Updated 3 years ago
- H2O.ai Machine Learning Interpretability Resources☆485Updated 4 years ago
- Research code for auditing and exploring black box machine-learning models.☆130Updated last year
- A library that implements fairness-aware machine learning algorithms☆125Updated 4 years ago
- Bias Auditing & Fair ML Toolkit☆706Updated 5 months ago
- General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems☆190Updated 2 months ago
- ☆58Updated 3 years ago
- ☆324Updated last month
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 8 months ago
- Themis™ is a software fairness tester.☆103Updated 4 years ago
- Text Mining and Topic Modeling Toolkit for Python with parallel processing power☆190Updated last year
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆169Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆798Updated 2 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆487Updated 7 years ago
- Open source production model management tool for data scientists☆343Updated 2 years ago
- Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰☆96Updated last year
- python tools to check recourse in linear classification☆75Updated 4 years ago
- An open source package that evaluate the fairness of a Neural Network using a fairness metric called p% rule.☆18Updated 6 years ago
- A command line tool to easily add an ethics checklist to your data science projects.☆291Updated 7 months ago
- simple customizable risk scores in python☆136Updated last year
- This contains materials for the word embeddings workshop☆126Updated 7 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Push and pull data files like code☆175Updated last year
- A repo for talk materials☆25Updated 4 years ago
- Data Analysis Baseline Library☆728Updated 2 months ago
- Implementation of statistical models to analyze time lagged conversions☆261Updated 8 months ago
- Learning Certifiably Optimal Rule Lists☆172Updated 3 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 4 years ago
- A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker☆133Updated last year
- Easy to use test framework for Jupyter Notebooks☆308Updated 2 years ago