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interpretable-machine-learning

Here are 509 public repositories matching this topic...

Generate Diverse Counterfactual Explanations for any machine learning model.

  • Updated Jul 13, 2025
  • Python

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

  • Updated Mar 30, 2025
  • Jupyter Notebook

OmniXAI: A Library for eXplainable AI

  • Updated Jun 2, 2026
  • Jupyter Notebook

Interesting resources related to XAI (Explainable Artificial Intelligence)

  • Updated May 31, 2022
  • R

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

  • Updated Jun 17, 2024
  • Jupyter Notebook

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

  • Updated Jun 25, 2026
  • Python

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

  • Updated Jul 5, 2019
  • Jupyter Notebook

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