ml-experiment-lifecycle
Use when designing ML experiments, choosing evaluation metrics, tracking experiments, tuning hyperparameters, debugging training, ensuring reproducibility, or building ML pipelines. Covers W&B/MLflow
Use when designing ML experiments, choosing evaluation metrics, tracking experiments, tuning hyperparameters, debugging training, ensuring reproducibility, or building ML pipelines. Covers W&B/MLflow