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novelty-detection

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visual-layer / fastdup

Star 1.6k

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

visualization python machine-learning image deep-learning image-processing dataset image-classification outlier-detection object-detection image-analysis visual-search data-augmentation data-curation visualization-tools image-similarity image-duplicate-detection novelty-detection image-classfication
  • Updated Sep 3, 2024
  • Python

huytransformer / Awesome-Out-Of-Distribution-Detection

Star 801

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

awesome open-world awesome-list outlier-detection ood robustness anomaly-detection novelty-detection out-of-distribution out-of-distribution-detection ood-detection openset-recognition ood-generalization distribution-shift out-of-distribution-generalization
  • Updated Oct 26, 2024

GuansongPang / ADRepository-Anomaly-detection-datasets

Star 372

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

dataset outlier-detection anomaly-detection novelty-detection video-anomaly-detection out-of-distribution-detection time-series-anomaly-detection unsupervised-anomaly-detection image-anomaly-detection graph-anomaly-detection semi-supervised-anomaly-detection weakly-supervised-anomaly-detection
  • Updated Sep 11, 2023

dlmacedo / entropic-out-of-distribution-detection

Star 74

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.

machine-learning deep-learning pytorch ood osr ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai
  • Updated Sep 22, 2022
  • Python

dlmacedo / distinction-maximization-loss

Star 45

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.

machine-learning deep-learning pytorch classification ood osr uncertainty-estimation ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai
  • Updated Sep 22, 2022
  • Python

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