7 skills found
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
Optuna Study Creator - Auto-activating skill for ML Training.Triggers on: optuna study creator, optuna study creatorPart of the ML Training skill category.
Pytorch Model Trainer - Auto-activating skill for ML Training.Triggers on: pytorch model trainer, pytorch model trainerPart of the ML Training skill category.
Learning Rate Scheduler - Auto-activating skill for ML Training.Triggers on: learning rate scheduler, learning rate schedulerPart of the ML Training skill category.
Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize performance. Use when asked to "tune hyperparameters" or "optimize model". Trigger with relevant phrases based on skill purpose.
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
