Awesome Open Source

Programming Languages

Search results for anomaly detection open set recognition

anomaly-detection x

open-set-recognition x

7 search results found

Openood ⭐ 681

Benchmarking Generalized Out-of-Distribution Detection

Oodsurvey ⭐ 294

The Official Repository for "Generalized OOD Detection: A Survey"

Pytorch Ood ⭐ 166

👽 Out-of-Distribution Detection with PyTorch

Entropic Out Of Distribution Detection ⭐ 47

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.

Distinction Maximization Loss ⭐ 34

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.

Robust Deep Learning ⭐ 9

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.

Osr Ood Ad Methods ⭐ 8

This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges".

Related Searches

Python Anomaly Detection (497)

Jupyter Notebook Anomaly Detection (221)

Machine Learning Anomaly Detection (204)

Deep Learning Anomaly Detection (162)

Pytorch Anomaly Detection (87)

Neural Network Anomaly Detection (39)

Classification Anomaly Detection (38)

Python Open Set Recognition (21)

Out Of Distribution Detection Open Set Recognition (10)

Novelty Detection Open Set Recognition (9)

1-7 of 7 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.