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IBM/AIF360

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2,827 stars·912 forks·Python·Apache-2.0·7 viewsaif360.res.ibm.com↗

AIF360

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.

Features

  • Model Evaluation - Detects and mitigates bias in datasets and models.

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Frequently asked questions

What does ibm/aif360 do?

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.

What are the main features of ibm/aif360?

The main features of ibm/aif360 are: Model Evaluation.

What are some open-source alternatives to ibm/aif360?

Open-source alternatives to ibm/aif360 include: sjwhitworth/golearn — GoLearn is a machine learning library for the Go programming language. It provides a supervised learning framework and… nvidia/isaac-gr00t. ageron/handson-ml — This is a machine learning educational repository consisting of a collection of notebooks and code examples. It… alibaba-damo-academy/medevalkit — MedEvalKit: A Unified Medical Evaluation Framework. confident-ai/deepeval — Deepeval is a framework for testing and evaluating large language model applications. It provides a suite of tools for… cluebenchmark/supercluelyb — SuperCLUE琅琊榜:中文通用大模型匿名对战评价基准.