data-labeling
claudeData labeling: annotation guidelines, platforms, inter-annotator agreement, active learning, weak supervision, and label error detection.
1 skill · 1 command · 1 agent
0
claude
experiment-tracking
Experiment tracking: MLflow, Weights & Biases, Neptune, ClearML, hyperparameter search, and run organization.
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Plugin experiment-tracking from marketplace libre-mlops in HermeticOrmus/LibreMLOps-Claude-Code. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
experiment-tracking-patternsExperiment tracking patterns with code: MLflow manual logging and autologging, W&B sweeps with Bayesian search, Optuna with MLflow, run queries and comparison, and a team tagging strategy. Use when instrumenting or organizing ML experiments.
Slash commands (1)
/experiment-tracking:track-experimentSet up MLflow or W&B tracking, instrument existing training code, compare runs, or tag the best run for registry promotion.
Subagents (1)
experiment-trackerUse this agent when setting up or cleaning up experiment tracking: instrumenting training code with MLflow, Weights & Biases, Neptune, or ClearML, running hyperparameter searches, comparing runs, or agreeing on team naming and tags. It makes every run findable, comparable, and auditable.
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