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machine-learning-interpretability

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jphall663 / interpretable_machine_learning_with_python

Star 673

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability
  • Updated Jun 17, 2024
  • Jupyter Notebook
explainx

explainX / explainx

Star 418

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]

machine-learning scikit-learn transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning machine-learning-interpretability explainability aws-sagemaker explainx
  • Updated Aug 21, 2024
  • Jupyter Notebook

nilsdenter / novelty_value_ml

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This project contains the data, code and results used in the paper title "On the relationship of novelty and value in digitalization patents: A machine learning approach".

machine-learning scikit-learn machine-learning-algorithms machinelearning patents machine-learning-models partial-dependence-plot machinelearning-python patentsview machine-learning-interpretability permutation-importance kpss machine-learning-interpretation
  • Updated Jul 13, 2022
  • Python

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