yzhao062/pyod
PyOD is a comprehensive Python library for multi-modal anomaly detection, offering 60+ detectors and an agentic workflow for AI agents to drive investigations across various data types.
Awesome AI for Infra › Anomaly Detection
d0ng1ee/logdeep
LogDeep is a deep learning-centric toolkit designed for automated anomaly detection in system logs. It provides a modular framework for log analysis, focusing on identifying unusual patterns that may indicate system failures or security incidents. The project integrates and benchmarks several prominent log anomaly detection models, including DeepLog, LogAnomaly, and RobustLog, allowing users to leverage state-of-the-art techniques. While it handles feature extraction and anomaly detection, it explicitly notes that log parsing is outside its scope, recommending external tools like LogParser for this initial step. The toolkit is built with Python and PyTorch, offering flexibility for researchers and practitioners to experiment with different models and adapt them to specific log datasets. It supports various log event features such as sequential and quantitative aspects, and provides benchmark results to illustrate the effectiveness of its included models on datasets like HDFS. The project emphasizes modularity, enabling users to easily configure and extend its capabilities for their own anomaly detection pipelines.
https://github.com/d0ng1ee/logdeep
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