Claude Code plugins
4 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
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ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
Twelve MLSys-specific skills for machine-learning-and-systems conference submission strategy, grounded in the official MLSys 2026 Call for Research Papers, Industrial Track CFP, Call for Artifact Evaluations, and dates/organization pages.
academicML pipeline design, experiment tracking, model evaluation, training debugging, and reproducibility.
developer toolsMachine learning framework specialists for PyTorch, TensorFlow, and scikit-learn. Expert guidance for ML model development and training.