A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
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A game theoretic approach to explain the output of any machine learning model.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Visualize and share your data. All in SQL. Powered by DuckDB.
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
An R package to flexible rearrange, reshape and aggregate data