calebevans/cordon
Reduce logs to their semantic anomalies
Uses transformer embeddings and k-NN density scoring in embedding space to identify semantically unusual log patterns while treating repetitive errors as background noise. Supports multiple backends including sentence-transformers (with GPU acceleration), llama.cpp for containers, and remote APIs (OpenAI, Gemini), with configurable sliding-window analysis and anomaly percentile filtering for flexible noise reduction.
151 stars.
Stars
151
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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