Showing 1-5 of 5 projects
An open-source library for data-centric AI with tools for data quality and machine learning on messy, real-world data.
A Python library for outlier and anomaly detection, integrating classical and deep learning techniques.
Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.
A curated list of papers and resources on open set recognition, out-of-distribution detection, and open world recognition.
A Python library for benchmarking generalized out-of-distribution detection algorithms.
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