Skip to content
#

open-set

Here are 23 public repositories matching this topic...

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

  • Updated Nov 21, 2024

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.

  • Updated Sep 22, 2022
  • Python

A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

  • Updated Sep 22, 2022
  • Python

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

  • Updated Nov 26, 2022
  • Python

Improve this page

Add a description, image, and links to the open-set topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the open-set topic, visit your repo's landing page and select "manage topics."

Learn more