GitHub repository: DarioRugg/MLOps-for-ML-in-Agronomic
Primary language: Python
Description: Codebase for the article "Introducing MLOps to Facilitate Reproducible Model Development in Agronomy." Includes ClearML and Docker integration for reproducible ML workflows, covering data preprocessing, model training, hyperparameter tuning, and pipeline orchestration. Focused on enhancing reproducibility in agronomic research.