From jeremylongshore-claude-code-plugins-plus-skills
Manages learning rate scheduler operations in ML training, generating code and configurations for PyTorch, TensorFlow, and scikit-learn. Useful for hyperparameter tuning and training workflows.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin langchain-py-packThis skill is limited to using the following tools:
This skill provides automated assistance for learning rate scheduler tasks within the ML Training domain.
Manages hyperparameter tuning operations for ML training, providing guidance, code generation, and configs for data prep, model training, and experiment tracking. Triggers on 'hyperparameter tuner' phrases.
Optimizes deep learning models with Adam, SGD optimizers, learning rate scheduling, and regularization to boost accuracy and cut training time.
Autonomously runs deep learning experiments 24/7 in a THINK-EXECUTE-REFLECT loop with zero-cost GPU monitoring, Leader-Worker architecture, and constant-size memory.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for learning rate scheduler tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with learning rate scheduler" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn