Topic collection
Model development, evaluation, and deployment for scientific applications.
A measuring and analysis framework that predicts leaf BRDF parameters from phenotypic traits in four species, combining directional spectroscopy, Cook–Torrance fitting, ensemble learning and canopy ray tracing (Plant Phenomics, 2025).
A maintainable workflow for choosing a local model, testing it with Ollama, planning parameter-efficient fine-tuning, evaluating results, and exposing a service safely.
A concise, reproducibility-focused route from tensors and training loops to transfer learning, evaluation, safe checkpoints, and deployment boundaries.
