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。
time-series-anomaly-detection 开源项目推荐(59 个)
time-series-anomaly-detection 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 59 个仓库Jupyter Notebook教程,介绍使用PyTorch通过机器学习和深度学习解决现实世界的问题。主题:使用Detectron 2进行面部检测,使用LSTM自动编码器进行时间序列异常检测,使用YOLO v5进行对象检测,构建您的第一个神经网络,针对冠状病毒每日病例进行时间序列预测,使用BER进行情绪分析
TODS: An Automated Time-series Outlier Detection System
时间序列机器学习和深度学习工具包
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
The official code 👩💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Streaming anomaly detection in Python: online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
Evaluation Tool for Anomaly Detection Algorithms on Time Series
Time series anomaly detection algorithm implementations for TimeEval (Docker-based)
CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time series data.
Awesome Time-Series and Spatio-Temporal Related
GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.
[official] PyTorch implementation of TimeVQVAE-AD, a time series anomaly detection model.
PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)
Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"
A simple-to-use Python tool for time series anomaly detection!
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/time-series-anomaly-detection。
- 该话题在 GitHub 上共有 59 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2 万 Star,覆盖 3 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。