Fast-PIKAN is a Python implementation of a physics-informed neural network (PINN) solver, specifically using the PIKAN architecture. It is designed to solve partial differential equations (PDEs), a common problem in physics and engineering. The project includes various scripts for training, comparison with other methods, and postprocessing results. It appears to be a research-oriented project with a focus on numerical methods.
Visit author’s GitHub →Datthanhly/Fast-PIKAN