interpret-community
Interpret-Community builds on the Interpret library by introducing interpretability techniques specifically for tabular data models. It offers tools for data scientists to handle real-world datasets, along with features to reverse feature engineering for original data insights and interactive visualizations. It supports various models, including PyTorch and TensorFlow, and includes explainers like SHAP and LIME. Explore examples using Jupyter notebooks to refine your machine learning model explanations.
