AIF360
Bias detector and remover
A comprehensive toolkit for detecting and mitigating bias in machine learning models and datasets.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
2k stars
91 watching
846 forks
Language: Python
last commit: almost 2 years agoLinked from 5 awesome lists
aiartificial-intelligencebiasbias-correctionbias-detectionbias-finderbias-reductioncodaitdeep-learningdiscriminationfairnessfairness-aifairness-awareness-modelfairness-testingibm-researchibm-research-aimachine-learningpythonrtrusted-ai
kelvins/awesome-mlops
jphall663/awesome-machine-learning-interpretability
krzjoa/awesome-python-data-science
datamllab/awesome-fairness-in-aiRelated projects:
| Repository | Description | Stars |
|---|---|---|
| trusted-ai/aix360 | A toolkit for explaining complex AI models and data-driven insights | 1,641 |
| trusted-ai/adversarial-robustness-toolbox | A Python library that provides tools and techniques to defend against various attacks on machine learning models and applications. | 4,945 |
 andreysharapov/xaience | An online repository providing resources and information on explainable AI, algorithmic fairness, ML security, and related topics | 107 |
 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 |
 responsiblyai/responsibly | A toolkit for auditing and mitigating bias in machine learning systems | 96 |
 giskard-ai/giskard | Automates the detection of performance, bias, and security issues in AI applications | 4,125 |
 ethicalml/xai | An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance | 1,135 |
 huggingface/alignment-handbook | Provides recipes and guidelines for training language models to align with human preferences and AI goals | 4,800 |
 tensorflow/fairness-indicators | An evaluation toolkit to assess fairness in machine learning models | 343 |
 jacobgil/pytorch-grad-cam | A package providing advanced explainability methods for deep learning models in computer vision | 10,781 |
 h2oai/mli-resources | Provides tools and techniques for interpreting machine learning models | 483 |
 algofairness/fairness-comparison | An online repository providing benchmarking tools and data for evaluating fairness-aware machine learning algorithms | 159 |
 openai/baselines | High-quality implementations of reinforcement learning algorithms for research and development purposes | 15,885 |
 confident-ai/deepeval | A framework for evaluating large language models | 4,003 |
 clementsicard/reliable-and-trustworthy-ai-notebooks | Research-focused notebooks on developing robust and secure AI models against adversarial attacks | 1 |