https://github.com/trustyai-explainability/trustyai-explainability-python-examples

Examples for the Python bindings for TrustyAI's explainability library
https://github.com/trustyai-explainability/trustyai-explainability-python-examples

explainable-ai java jupyter machine-learning python trustyai

Last synced: 10 months ago
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Examples for the Python bindings for TrustyAI's explainability library

• Host: GitHub
• URL: https://github.com/trustyai-explainability/trustyai-explainability-python-examples
• Owner: trustyai-explainability
• License: apache-2.0
• Created: 2021-10-15T21:42:22.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-10-07T14:54:22.000Z (over 1 year ago)
• Last Synced: 2025-07-13T16:22:18.482Z (12 months ago)
• Topics: explainable-ai, java, jupyter, machine-learning, python, trustyai
• Homepage:
• Size: 47.5 MB
• Stars: 11
• Watchers: 3
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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# trustyai-examples

Examples for the [Python bindings](https://github.com/trustyai-explainability/trustyai-explainability-python) to [TrustyAI](https://github.com/trustyai-explainability/trustyai-explainability)'s explainability library.

## Binder

You can run the example Jupyter notebooks using `mybinder.org` by following [this link](https://mybinder.org/v2/gh/trustyai-explainability/trustyai-explainability-python-examples/main?labpath=examples).

## Jupyter notebooks

Several example Jupyter notebooks are available.

### Explainers

- [Counterfactual explanations](examples/Counterfactuals.ipynb)

- [LIME explanations](examples/Lime.ipynb)

- [SHAP explanations](examples/SHAP.ipynb)

- [PDP explanations](examples/PDP.ipynb) 

- Time-series explainers

  - [TSLime](examples/TSLime.ipynb)[^1]

  - [TSSaliency](examples/TSSaliency.ipynb)[^1]

  - [Time-series Individual Conditional Expectation (TSICE)](examples/TSICE.ipynb)[^1]

  - Full examples

    - [Energy load forecasting](examples/EnergyLoadForecasting.ipynb)[^1]

    - [Engine fault detection](examples/EngineFaultDetection.ipynb)[^1]

- Detoxification

    - [LLM detoxification using TMaRCo](examples/Detoxify.ipynb)[^2]

    

### Metrics

- Bias/fairness

  - [Group fairness metrics](examples/GroupFairnessMetrics.ipynb)

- Language

  - [Language performance](examples/LanguageMetrics.ipynb)

[^1]: These explainers require the extra dependencies, installed with `pip install trustyai[extras]`.

[^2]: Detoxification requires the optional dependencies, installed with `pip install trustyai[detoxify]`.