A modular deep learning evaluation framework for benchmarking multiple CNN architectures across varied optimization strategies and training configurations. Built for scalable experimentation and ...

🛠 Fit hyperelastic and Mullins effect material models to experimental data with HyperFit, a versatile Python library for robust computational mechanics.