从 65,714 个高星开源项目里，
找到你要的下一个。

cleanlab 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

sktime 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

A unified framework for machine learning with time series

pyod 是用 Python 编写的学习资料，用于系统学习与查阅。

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orc…

pycaret 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

darts 是用 Python 编写的学习资料，用于系统学习与查阅，主打易用。

A python library for user-friendly forecasting and anomaly detection on time series.

anomaly-detection-resources 是用 Python 编写的资源清单，按主题汇总同类优质资源。

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

anomalib 是用 Python 编写的学习资料，用于系统学习与查阅。

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and ed…

Merlion 是用 Python 编写的学习资料，用于系统学习与查阅。

Merlion: A Machine Learning Framework for Time Series Intelligence

stumpy 是用 Python 编写的代码库，提供可直接复用的能力，主打功能完整、现代化、可伸缩。

STUMPY is a powerful and scalable Python library for modern time series analysis

nixtla 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打适合生产环境。

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for…

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

awesome-TS-anomaly-detection 是一个资源清单，按主题汇总同类优质资源。

List of tools & datasets for anomaly detection on time-series data.

awesome-anomaly-detection 是一个资源清单，按主题汇总同类优质资源。

A curated list of awesome anomaly detection resources

loghub 是一个资源清单，按主题汇总同类优质资源。

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

Getting-Things-Done-with-Pytorch 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron…

ailia-models 是用 Python 编写的学习资料，用于系统学习与查阅。

The collection of pre-trained, state-of-the-art AI models for ailia SDK

flow-forecast 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

ML 是用 PHP 编写的学习资料，用于系统学习与查阅。

A high-level machine learning and deep learning library for the PHP language.

PyPOTS 是用 Python 编写的学习资料，用于系统学习与查阅。

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network mod…

logparser 是用 Python 编写的工程工具，用于代码分析、构建与打包。

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

graph-fraud-detection-papers 是一个学习资料，用于系统学习与查阅。

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

surpriver 是用 Python 编写的交易类项目，用于商城、支付与交易场景。

Find big moving stocks before they move using machine learning and anomaly detection

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

tods 是用 Python 编写的学习资料，用于系统学习与查阅。

TODS: An Automated Time-series Outlier Detection System