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
tensorflow-patterns
TensorFlow and Keras: model building, tf.data pipelines, custom layers, SavedModel export, TFLite quantization, and TFX.
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Plugin tensorflow-patterns from marketplace libre-mlops in HermeticOrmus/LibreMLOps-Claude-Code. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
tensorflow-patternsTensorFlow patterns with code: the Keras functional API, an optimized tf.data pipeline, custom layers and losses, SavedModel export with a serving signature, and TFLite post-training quantization. Use when building or exporting TensorFlow models.
Slash commands (1)
/tensorflow-patterns:tensorflowBuild a Keras model, fix a tf.data pipeline, export a SavedModel with serving signatures, or convert to TFLite with quantization.
Subagents (1)
tensorflow-engineerUse this agent when building or shipping TensorFlow and Keras models: functional or subclassed models, tf.data pipelines in the right order, custom layers and losses, SavedModel export with serving signatures, TFLite conversion with post-training or quantization-aware training, and TFX pipeline comp
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