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GitHub topics: interpretml

interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

Language: C++ - Size: 14.7 MB - Last synced at: 3 days ago - Pushed at: 7 days ago - Stars: 6,462 - Forks: 745

leestott/ResponsibleAI

Microsoft Ignite - Getting started on your health-tech journey using responsible AI

Language: Jupyter Notebook - Size: 6 MB - Last synced at: 20 days ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 3

12wang3/mllp

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

Language: Python - Size: 3.69 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 6

meganbloemsma/tools-for-responsible-ai

Demo's of FairLearn and InterpretML as described in my article on responsible AI.

Language: Python - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Innoccull/responsible_ai_demo

A demonstration of detecting and mitigating bias in AI

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

chaitanyakasaraneni/SHAP_EBM_Examples

Example/Code for the article on KDNuggets

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 3

retkowsky/InterpretML

Démonstration Azure InterpretML

Language: Jupyter Notebook - Size: 844 KB - Last synced at: 23 days ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1