GitHub / dlmacedo / entropic-out-of-distribution-detection

A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

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PURL: pkg:github/dlmacedo/entropic-out-of-distribution-detection

Topics: ai-safety, anomaly-detection, deep-learning, machine-learning, novelty-detection, ood, ood-detection, open-set, open-set-recognition, osr, out-of-distribution, out-of-distribution-detection, pytorch, robust-machine-learning, trustworthy-ai, trustworthy-machine-learning

• Files
• Readme
• Dependencies