Shypd.aiThe largest open index of AI toolsxai is a machine learning library designed for AI explainability, offering tools for data analysis and model evaluation. It helps identify imbalances, evaluate model performance, and mitigate biases.
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XAI is a comprehensive Machine Learning library focused on AI explainability, maintained by The Institute for Ethical AI & ML. It provides various tools for analyzing and evaluating both data and models, adhering to the 8 principles for Responsible Machine Learning. The library supports a 3-step approach to explainable machine learning: data analysis, model evaluation, and production monitoring. Key functionalities include identifying data imbalances, visualizing correlations, performing balanced train-test splits, evaluating model performance through permutation feature importance, and visualizing metric imbalances across different data columns. It also offers tools for confusion matrix plots, ROC curve analysis, and understanding accuracy grouped by probability buckets, making it invaluable for machine learning engineers and domain experts.
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