MAI-Bias is an open-source desktop toolkit designed to help machine learning practitioners and researchers analyze and mitigate bias in their models. It provides tools for bias detection and model evaluation, supporting fairer AI development across platforms. The toolkit is available for Windows, macOS, and Linux.
MAI-Bias sits in PulseGate's Other dev tools category. It focuses on identifying and mitigating bias in machine learning models for fairer AI outcomes. It is built as an open-source project for machine learning practitioners and researchers. MAI-Bias is open source under the Open Source license. MAI-Bias is available on the web, the command line, macOS, Windows, and Linux.
It is developed by mammoth-eu, and the product first shipped in 2024. Development happens publicly on GitHub with 22 stars and 63 commits in the last 90 days. Key capabilities include bias analysis, model evaluation, and desktop interface.
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