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1. Ops-Incident-Core Ops-Incident-Core Public

   Azure-first IncidentOps backend for ingesting engineering evidence, indexing it with PostgreSQL/pgvector, and powering cited search, investigation, workflows, and MCP.

   Python 1

2. Ops-Incident-Collector Ops-Incident-Collector Public

   Deterministic evidence collection pipeline for IncidentOps that discovers, filters, redacts, normalizes, and syncs source evidence into Core.

   Python

3. logsage logsage Public

   QLoRA fine-tuned Qwen2.5 adapter for structured log incident analysis, with AWS GPU training, metrics, reports, and Colab inference.

   Python

4. canary canary Public

   Python

5. audioforge audioforge Public

   Python toolkit for audio ML experiments, including FSD50K/DCASE data prep, log-mel features, CNN training, evaluation, and anomaly/event inference scaffolding.

   Python

6. visionforge visionforge Public

   Production-oriented PyTorch visual inspection and anomaly detection with distributed GPU training.

   Python