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.

GitHub

2k stars
91 watching
840 forks
Language: Python
last commit: 5 months ago
Linked from 5 awesome lists

aiartificial-intelligencebiasbias-correctionbias-detectionbias-finderbias-reductioncodaitdeep-learningdiscriminationfairnessfairness-aifairness-awareness-modelfairness-testingibm-researchibm-research-aimachine-learningpythonrtrusted-ai

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
trusted-ai/aix360 A toolkit for explaining complex AI models and data-driven insights 1,633
trusted-ai/adversarial-robustness-toolbox A Python library that provides tools and techniques to defend against various attacks on machine learning models and applications. 4,878
andreysharapov/xaience An online repository providing resources and information on explainable AI, algorithmic fairness, ML security, and related topics 107
fairlearn/fairlearn A Python package to assess and improve the fairness of machine learning models. 1,948
responsiblyai/responsibly A toolkit for auditing and mitigating bias in machine learning systems 94
giskard-ai/giskard Automates detection and evaluation of performance, bias, and security issues in AI applications 4,071
ethicalml/xai An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance 1,125
huggingface/alignment-handbook Provides training recipes and resources to align language models with human preferences 4,677
tensorflow/fairness-indicators Tools for evaluating and visualizing fairness in machine learning models 343
jacobgil/pytorch-grad-cam A package providing advanced explainability methods for deep learning models in computer vision 10,575
h2oai/mli-resources Provides tools and techniques for interpreting machine learning models 484
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 15,810
confident-ai/deepeval A framework for evaluating large language models 3,669
clementsicard/reliable-and-trustworthy-ai-notebooks Research-focused notebooks on developing robust and secure AI models against adversarial attacks 1