Anomaly Detection Resources
yzhao062
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
Ml AutomationReview before use
9.3KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Results · “anomaly”
1–16 / 38
More filters
Results: 38
Awesome TS Anomaly Detection
rob-med
List of tools & datasets for anomaly detection on time-series data.
DataReview before use
3.2KGitHub
anomaly-scan
indranilbanerjee
Scan all connected marketing platforms for statistically significant deviations from stored baselines — traffic drops, CPA spikes, deliverability collapse, budget overru…
DataClaude Code
787GitHub
azure-anomaly-detector
MicrosoftDocs
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, limits & quotas, configuration, and deployment. Use when tuning Doc…
AutomationClaude Code
730GitHub
kibana-anomaly-detection
elastic
Elastic ML anomaly detection — investigation/RCA, score explanation, job lifecycle troubleshooting, and job operations. Use when answering "what broke?"/"which entity?"/…
DataClaude Code
568GitHub
anomaly-investigation
gaasher
Use when the user has a known, already-observed anomaly in their data — a metric spike or drop, an outlier, an unexpected number — and wants its root cause diagnosed, no…
ResearchClaude Code
163GitHub
data-analytics-anomaly-detection
guoliang1114-boop
运用数据分析技术识别异常交易和潜在舞弊，涵盖本福特定律、趋势分析、重复检测和关联方筛查
DataClaude Code
37GitHub
Pyod
yzhao062
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic w…
Ml AutomationReview before use
9.9KGitHub
Darts
unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
Ml AutomationReview before use
9.4KGitHub
PyPOTS
WenjieDu
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 an…
DataReview before use
2KGitHub
Graph Fraud Detection Papers
safe-graph
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
Ml AutomationReview before use
1.9KGitHub
Getting Things Done With Pytorch
curiousily
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anoma…
Robotics IotReview before use
2.5KGitHub
Surpriver
tradytics
Find big moving stocks before they move using machine learning and anomaly detection
FinanceReview before use
1.9KGitHub
PyNomaly
vc1492a
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Ml AutomationReview before use
330GitHub
Datastream.Io
MentatInnovations
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Robotics IotReview before use
915GitHub
Log Analysis & SIEM Integration
Masriyan
Security log parsing, anomaly detection, SIEM query building, Sigma rule creation, and correlation rule development across Splunk, Elastic, QRadar, and Microsoft Sentinel
SecurityClaude Code
397GitHub
External platform skills
Browse external directory →Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.