# seldonio/alibi-detect

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/seldonio-alibi-detect).**

2,523 stars · 245 forks · Jupyter Notebook · NOASSERTION

## Links

- GitHub: https://github.com/SeldonIO/alibi-detect
- Homepage: https://docs.seldon.io/projects/alibi-detect/en/stable/
- awesome-repositories: https://awesome-repositories.com/repository/seldonio-alibi-detect.md

## Description

Algorithms for outlier, adversarial and drift detection

## Tags

### Part of an Awesome List

- [Drift Detection](https://awesome-repositories.com/f/awesome-lists/ai/drift-detection.md) — Library for outlier, adversarial, and drift detection.
- [Explainable AI Libraries](https://awesome-repositories.com/f/awesome-lists/ai/explainable-ai-libraries.md) — Outlier, adversarial, and drift detection for machine learning models.
- [Model Evaluation](https://awesome-repositories.com/f/awesome-lists/ai/model-evaluation.md) — Detects outliers, adversarial attacks, and data drift.
- [Data Quality and Validation](https://awesome-repositories.com/f/awesome-lists/data/data-quality-and-validation.md) — Outlier, adversarial, and drift detection.
- [Data Validation and Anomaly Detection](https://awesome-repositories.com/f/awesome-lists/data/data-validation-and-anomaly-detection.md) — Package for outlier, adversarial, and concept drift detection.
- [Developer Tools](https://awesome-repositories.com/f/awesome-lists/devtools/developer-tools.md) — Detects outliers, adversarial attacks, and data drift in models.