Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Loghub | 1,402 | 4 months ago | 2 | other | ||||||
A large collection of system log datasets for AI-driven log analytics [ISSRE'23] | ||||||||||
Graph Fraud Detection Papers | 1,148 | 5 months ago | ||||||||
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources | ||||||||||
Ganomaly | 767 | a year ago | 44 | mit | Python | |||||
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training | ||||||||||
Datastream.io | 761 | 4 years ago | 21 | apache-2.0 | Python | |||||
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana | ||||||||||
Awesome Industrial Anomaly Detection | 670 | 4 months ago | ||||||||
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)。 | ||||||||||
Cicflowmeter | 439 | 5 months ago | 57 | other | Java | |||||
CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019). | ||||||||||
Dgfraud | 432 | 2 years ago | apache-2.0 | Python | ||||||
A Deep Graph-based Toolbox for Fraud Detection | ||||||||||
Ano_pred_cvpr2018 | 362 | 2 years ago | 22 | Python | ||||||
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018 | ||||||||||
Skab | 290 | 8 months ago | 3 | gpl-3.0 | Jupyter Notebook | |||||
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms. | ||||||||||
Adrepository Anomaly Detection Datasets | 286 | 8 months ago | 2 | gpl-3.0 | ||||||
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data. |