技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: anomaly

英文目录

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

9.9K
Stars
86/100
信任
分类: ml-automation审计

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

9.4K
Stars
86/100
信任
分类: ml-automation审计

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

2.0K
Stars
83/100
信任
分类: data-analysis审计

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

9.3K
Stars
85/100
信任
分类: ml-automation审计

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

1.9K
Stars
75/100
信任
分类: ml-automation审计

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

34K
Stars
80/100
信任
分类: research审计

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

2.5K
Stars
71/100
信任
分类: robotics-iot审计

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

1.9K
Stars
72/100
信任
分类: finance审计

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

330
Stars
67/100
信任
分类: ml-automation审计

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

290
Stars
70/100
信任
分类: ml-automation审计

A collection of official Agent Skills for querying, diagnosing, and managing VictoriaMetrics products (metrics, logs, traces, and alerts).

45
Stars
69/100
信任
分类: data审计