aequitas
Bias auditor
Toolkit to audit and mitigate biases in machine learning models
Bias Auditing & Fair ML Toolkit
694 stars
43 watching
113 forks
Language: Python
last commit: 2 months ago
Linked from 4 awesome lists
biasfairnessfairness-testingmachine-bias
Related projects:
Repository | Description | Stars |
---|---|---|
algofairness/blackboxauditing | A software package for auditing and analyzing machine learning models to detect unfair biases | 130 |
adebayoj/fairml | An auditing toolbox to assess the fairness of black-box predictive models | 360 |
responsiblyai/responsibly | A toolkit for auditing and mitigating bias in machine learning systems | 94 |
i-gallegos/fair-llm-benchmark | Compiles bias evaluation datasets and provides access to original data sources for large language models | 110 |
ethicalml/xai | An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance | 1,125 |
privacytrustlab/bias_in_fl | Analyzing bias propagation in federated learning algorithms to improve group fairness and robustness | 11 |
nyu-mll/bbq | A dataset and benchmarking framework to evaluate the performance of question answering models on detecting and mitigating social biases. | 87 |
modeloriented/fairmodels | A tool for detecting bias in machine learning models and mitigating it using various techniques. | 86 |
koaning/scikit-fairness | A Python library providing tools and algorithms for fairness in machine learning model development | 29 |
fairlearn/fairlearn | A Python package to assess and improve the fairness of machine learning models. | 1,948 |
btschwertfeger/python-cmethods | A collection of bias correction techniques for climate data analysis | 60 |
visionjo/facerec-bias-bfw | This project provides a data proxy to evaluate bias in facial recognition systems across demographic groups. | 46 |
cgnorthcutt/cleanlab | A tool for evaluating and improving the fairness of machine learning models | 57 |
google/ml-fairness-gym | An open source framework for studying long-term fairness effects in machine learning decision systems | 312 |
amiratag/datashapley | Calculates fair valuation of individual training data points in machine learning models. | 259 |