I
interpret
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
★6.9kstars
C++
MIT
Updated: Today
📋 Project at a Glance
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What's this?A artificial-intelligence/bias tool in the Security & Governance category, built with C++, open-source
Who made it?Maintained by interpretml team, 6.9K⭐ on GitHub, #33 out of 413 in Security & Governance
Why does it exist?In the Security & Governance space, artificial-intelligence workflows faced efficiency bottlenecks. interpret was built by interpretml to address these bias challenges.
What can it do?Key use cases: blackbox, differential-privacy, explainability
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/interpretml/interpret | 官网 https://interpret.ml/docs
🔗 github.com/interpretml/interpret | 官网 https://interpret.ml/docs
Topics
aiartificial-intelligencebiasblackboxdifferential-privacyexplainabilityexplainable-aiexplainable-mlgradient-boostingimlinterpretabilityinterpretable-aiinterpretable-machine-learninginterpretable-mlinterpretmlmachine-learningscikit-learntransparencyxai