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ml-platform-workflow

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flyingriverhorse / Skyulf

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Build and ship production ML pipelines faster: a pipeline library with an optional self-hosted visual layer for modular, reproducible workflows, local testing, and experiment tracking.

react redis machine-learning deep-learning docker-compose self-hosted celery visual-programming low-code model-deployment privacy-first mlops ml-pipeline model-registry experiment-tracking local-first data-orchestration mlops-workflow ml-platform-workflow feature-engineering-python
  • Updated Apr 22, 2026
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kmathanprasath / cloudguard-mlops

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An AI-powered cloud threat detection system with a full MLOps lifecycle multi-source log ingestion, unsupervised anomaly detection, MITRE ATT&CK mapping, CVE enrichment, and a Claude-powered SOC analyst, all wired into a Kubeflow pipeline that trains, gates, and deploys to KServe automatically.

cloud cve unsupervised-learning mitre-attack mlops kubeflow-pipelines mlops-workflow mlops-template kserve mlos-project claude-ai soc-analyst ml-platform-workflow mdlc
  • Updated Apr 22, 2026
  • Jupyter Notebook

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