#Lime
Showing 11 of 11 repositories tagged #lime, ranked by stars
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
An open source library for creative expression on the web, desktop, mobile and consoles. Inspired by the classic Flash and AIR APIs.
A foundational Haxe framework for cross-platform development
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Python implementation of two low-light image enhancement techniques via illumination map estimation
Lime client built using flutter
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
Local explanations with uncertainty 💐!
An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.