Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.
-
Updated
Aug 6, 2024 - Python
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.
Quilt: Robust Data Segment Selection against Concept Drifts (AAAI 2024)
Add a description, image, and links to the robustness-ml topic page so that developers can more easily learn about it.
To associate your repository with the robustness-ml topic, visit your repo's landing page and select "manage topics."