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LIME Programming Tutorials & Engineering Articles
5 LIME tutorials, guides, and engineering insights from NVIDIA and LinkedIn
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LIME Articles & Tutorials
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This article discusses how Uber has integrated explainability into its machine learning platform, Michelangelo, using Integrated Gradients (IG) to provide interpretable attributions for deep learni...
Hugh Chen, Eric Wang, Gaoyuan Huang, Howard Yu, Jia Li, Sally Lee
14 min read
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The article discusses the importance of explainability in machine learning models, particularly through the use of SHAP (SHapley Additive Explanations) and its GPU-accelerated variant, GPUTreeShap.
Parul Pandey
14 min read
Includes Code
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The article introduces FastTreeSHAP, an open-source Python package designed to accelerate SHAP value computations for tree-based models.
Jilei Yang
19 min read
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The article discusses LinkedIn's approach to building transparent and explainable AI systems, emphasizing the importance of trust, fairness, and user understanding in AI applications.
Kinjal Basu
8 min read
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The article discusses the application of machine learning (ML) to predict loan delinquencies, emphasizing the importance of model explainability and the benefits of GPU acceleration in enhancing pr...
Mark J. Bennett
15 min read
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