xai
A Python toolbox for explainable AI, providing tools for data analysis, model evaluation, and bias mitigation in machine learning.
What is xai?
XAI is a Python library for explainable artificial intelligence that provides tools to analyze data, evaluate models, and mitigate biases in machine learning systems. It helps practitioners understand model behavior, identify discrepancies, and ensure AI solutions align with ethical principles and domain requirements.
Machine learning engineers, data scientists, and domain experts who need to build transparent, responsible, and explainable AI systems, particularly those working on projects with ethical or regulatory considerations.
Developers choose XAI because it integrates explainability directly into the ML workflow, offers comprehensive visualization and analysis tools, and is built on established responsible AI principles, making it a trusted solution for ethical machine learning.
Overview
XAI - An eXplainability toolbox for machine learning
Use Cases
Best For
- Identifying and mitigating biases in training data across protected attributes
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