fairml
Model auditor
An auditing toolbox to assess the fairness of black-box predictive models
361 stars
19 watching
73 forks
Language: Python
last commit: over 3 years ago
Linked from 3 awesome lists
auditing-predictive-modelsdiscriminationfairnessmodel-criticismprediction-modeltoolbox
Related projects:
Repository | Description | Stars |
---|---|---|
algofairness/blackboxauditing | A software package for auditing and analyzing machine learning models to detect unfair biases | 130 |
dssg/aequitas | Toolkit to audit and mitigate biases in machine learning models | 701 |
responsiblyai/responsibly | A toolkit for auditing and mitigating bias in machine learning systems | 96 |
mbilalzafar/fair-classification | Provides a Python implementation of fairness mechanisms in classification models to mitigate disparate impact and mistreatment. | 190 |
ethicalml/xai | An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance | 1,135 |
i-gallegos/fair-llm-benchmark | Compiles bias evaluation datasets and provides access to original data sources for large language models | 115 |
fairlearn/fairlearn | A tool to assess and mitigate unfairness in AI systems, helping developers ensure their models do not disproportionately harm certain groups of people. | 1,974 |
modeloriented/fairmodels | A tool for detecting bias in machine learning models and mitigating it using various techniques. | 86 |
klen/pylama | Automates code quality checks for Python programs | 1,049 |
openbmb/bmlist | A curated list of large machine learning models tracked over time | 341 |
freedomintelligence/mllm-bench | Evaluates and compares the performance of multimodal large language models on various tasks | 56 |
aifeg/benchlmm | An open-source benchmarking framework for evaluating cross-style visual capability of large multimodal models | 84 |
cgnorthcutt/cleanlab | A tool for evaluating and improving the fairness of machine learning models | 57 |
seedatnabeel/triage | A framework for auditing and improving regression models by analyzing their training data | 8 |
borealisai/advertorch | A toolbox for researching and evaluating robustness against attacks on machine learning models | 1,311 |