Alibi
| swMATH ID: | 35451 |
| Software Authors: | Klaise, Janis; Looveren, Arnaud Van; Vacanti, Giovanni; Coca, Alexandru |
| Description: | Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models. |
| Homepage: | https://docs.seldon.io/projects/alibi/en/latest/ |
| Source Code: |
 https://github.com/SeldonIO/alibi
|
| Dependencies: | Python |
| Related Software: | Alibi Explain; shap; TensorFlow; AI Explainability 360; H2O; DALEX; GitHub; modelStudio; iNNvestigate; InterpretML; Fairlearn; XGBoost; NumPy; Scikit; LightGBM; PDPbox; dalex; Python; Captum; LOF |
| Cited in: | 2 Documents |
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top 5
Cited by 9 Authors
| 1 | Baniecki, Hubert |
| 1 | Biecek, Przemysław |
| 1 | Coca, Alexandru |
| 1 | Klaise, Janis |
| 1 | Kretowicz, Wojciech |
| 1 | Piątyszek, Piotr |
| 1 | Vacanti, Giovanni |
| 1 | van Looveren, Arnaud |
| 1 | Wiśniewski, Jakub |
Cited in 1 Serial
| 2 | Journal of Machine Learning Research (JMLR) |
Cited in 1 Field
| 2 | Computer science (68-XX) |
