Robust Libraries

5 Components & Libraries

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Robust Libraries

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

cleanlab is: cleanlab supports Linux, macOS, and Windows and runs on Python 3.7+. cleanlab can find label issues from any model's predicted class probabilities if you can produce them yourself. This …

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

OOD Detection represents an emerging trend in deep learning research, focusing on a critical deficiency that often limits the deployment of neural networks in real-world scenarios. Despite the tremen…

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Clone and set up ARES 2.0 via the following commands: If you derive value from ARES 2.0 in your endeavors, kindly cite our paper on adversarial robustness, which encompasses all models, attacks, and…