marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Lime: Explaining the predictions of any machine learning classifier
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Fit interpretable models. Explain blackbox machine learning.
Algorithms for explaining machine learning models
scikit-learn: machine learning in Python
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
3 captures since 2026-05-22
AI agent config detected
Key config paths
.github/copilot-instructions.md