novelty-detection

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yzhao062 /pyod

Sponsor

Star9k

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

python data-science machine-learning data-mining deep-learning python3 neural-networks outliers autoencoder data-analysis outlier-detection anomaly unsupervised-learning fraud-detection anomaly-detection outlier-ensembles novelty-detection out-of-distribution-detection

UpdatedMar 24, 2025
Python

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

UpdatedJan 16, 2025
Python

Jingkang50 /OpenOOD

Star940

Benchmarking Generalized Out-of-Distribution Detection

outlier-detection robustness anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection

UpdatedMar 18, 2025
Python

huytransformer /Awesome-Out-Of-Distribution-Detection

Star894

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 outlier-detection anomaly open-set awesome-lists robustness anomaly-detection novelty-detection open-set-recognition out-of-distribution out-of-distribution-detection ood-detection ood-generalization out-of-distribution-generalization open-world-learning ood-robustness distribution-shifts out-of-distribution-robustness

UpdatedMar 9, 2025

fjchange /awesome-video-anomaly-detection

Star617

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

awesome deep-learning detection papers abnormal-events anomalies novelty-detection video-anomaly-detection surveillance-videos

UpdatedSep 20, 2022

Jingkang50 /OODSurvey

Star453

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

outlier-detection anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection ood-detection

UpdatedOct 9, 2022
Jupyter Notebook

GuansongPang /ADRepository-Anomaly-detection-datasets

Star394

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

UpdatedSep 11, 2023

kkirchheim /pytorch-ood

Star283

👽 Out-of-Distribution Detection with PyTorch

deep-learning neural-network pytorch anomaly-detection novelty-detection confidence-estimation open-set-recognition ood-detection

UpdatedFeb 26, 2025
Python

alinlab /CSI

Star281

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

anomaly-detection novelty-detection out-of-distribution-detection contrastive-learning

UpdatedOct 19, 2023
Python

aimagelab /novelty-detection

Star196

Latent space autoregression for novelty detection.

computer-vision deep-learning unsupervised-learning anomaly-detection novelty-detection cvpr2019

UpdatedDec 12, 2022
Python

samet-akcay /skip-ganomaly

Star193

Source code for Skip-GANomaly paper

pytorch anomaly-detection novelty-detection ijcnn

UpdatedDec 8, 2022
Python

podgorskiy /GPND

Star129

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

pdf machine-learning deep-neural-networks deep-learning probability pytorch generative-adversarial-network gan mnist autoencoder anomaly-detection adversarial-learning adversarial-autoencoders aae novelty-detection nips-2018 deep-novelty-detection novelty-detector

UpdatedDec 7, 2020
Python

dlmacedo /entropic-out-of-distribution-detection

Star75

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

UpdatedSep 22, 2022
Python

nazim1021 /OOD-detection-using-OECC

Star69

Outlier Exposure with Confidence Control for Out-of-Distribution Detection

deep-learning pytorch calibration anomaly-detection novelty-detection in-distribution out-of-distribution-detection confidence-control outlier-exposure

UpdatedMar 13, 2021
Jupyter Notebook

taslimisina /osr-ood-ad-methods

Star61

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".

anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection

UpdatedJul 16, 2022
Python

dlmacedo /distinction-maximization-loss

Star45

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.