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https://github.com/The-Art-of-Hacking/h4cker
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30 lines
1.2 KiB
Markdown
30 lines
1.2 KiB
Markdown
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# AI monitoring tools
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1. **Model Monitoring Tools**
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- [MLflow](https://mlflow.org/)
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- [TensorFlow Extended (TFX)](https://www.tensorflow.org/tfx)
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- [Seldon](https://www.seldon.io/)
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2. **Data Quality Tools**
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- [Great Expectations](https://greatexpectations.io/)
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- [Deequ](https://github.com/awslabs/deequ)
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3. **Explainability and Interpretability Tools**
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- [SHAP (SHapley Additive exPlanations)](https://shap.readthedocs.io/en/latest/)
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- [LIME (Local Interpretable Model-agnostic Explanations)](https://github.com/marcotcr/lime)
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4. **Ethical and Bias Monitoring Tools**
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- [IBM's AI Fairness 360](https://www.ibm.com/opensource/open/projects/ai-fairness-360/)
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- [Google's What-If Tool](https://pair-code.github.io/what-if-tool/)
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5. **Performance Monitoring Tools**
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- [Nagios](https://www.nagios.org/)
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- [Prometheus](https://prometheus.io/)
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6. **Security Monitoring, Red Teaming, and Prompt Injection**
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- [CleverHans](https://github.com/cleverhans-lab/cleverhans)
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- [IBM Adversarial Robustness Toolbox (ART)](https://research.ibm.com/projects/adversarial-robustness-toolbox)
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- [ReBuff](https://github.com/protectai/rebuff)
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- [LMQL](https://lmql.ai/)
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- [Robust Intelligence](https://www.robustintelligence.com/)
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