novelty-detection 开源项目推荐（106 个）

yzhao062 /pyod

一个Python库，用于对表格、时间序列、图形、文本、图像和音频数据进行异常检测。60多个检测器、基准支持的ADEngine编排以及人工智能代理的代理工作流程。

visual-layer /fastdup

fastdup是一款功能强大的免费工具，旨在从图像和视频数据集快速生成有价值的见解。它有助于提高图像和标签的质量，同时显着降低数据操作成本，并且具有无与伦比的可扩展性。

Jingkang50 /OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

huytransformer /Awesome-Out-Of-Distribution-Detection

分布外检测、鲁棒性和泛化资源。该仓库包含精选的论文、教程、书籍、视频、文章和开源库等列表

fjchange /awesome-video-anomaly-detection

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

Jingkang50 /OODSurvey

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

mala-lab /ADBenchmarks-anomaly-detection-datasets

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

kkirchheim /pytorch-ood

👽 Out-of-Distribution Detection with PyTorch

alinlab /CSI

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

aimagelab /novelty-detection

Latent space autoregression for novelty detection.

samet-akcay /skip-ganomaly

Source code for Skip-GANomaly paper

shuolucs /Awesome-Out-Of-Distribution-Detection

[ACM CSUR 2025] Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances

podgorskiy /GPND

利用对抗自编码器的生成概率新颖检测

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.

nazim1021 /OOD-detection-using-OECC

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

taslimisina /osr-ood-ad-methods

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".

dlmacedo /distinction-maximization-loss

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.

neej4 /ScholarScout

Papers in, ideas out. Generate research, product, or feature ideas from 250M+ academic papers.

Ralmohsen /OSRAAE

Open-set Recognition with Adversarial Autoencoders

perarnia /microdsp

DSP algorithms and utilities written in Rust. Performant, embedded friendly and no_std compatible.