Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: anomaly

영문 디렉토리

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
신뢰
카테고리: ml-automation감사

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

9.4K
Stars
86/100
신뢰
카테고리: ml-automation감사

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
신뢰
카테고리: data-analysis감사

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

9.3K
Stars
85/100
신뢰
카테고리: ml-automation감사

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

1.9K
Stars
75/100
신뢰
카테고리: ml-automation감사

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
신뢰
카테고리: research감사

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
신뢰
카테고리: robotics-iot감사

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

1.9K
Stars
72/100
신뢰
카테고리: finance감사

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
신뢰
카테고리: ml-automation감사

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

290
Stars
70/100
신뢰
카테고리: ml-automation감사

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

45
Stars
69/100
신뢰
카테고리: data감사