Python Code Modification: PDE to ODE

I'm looking for a proficient Python developer with experience in neural networks and physics-informed models, to modify my existing Python code. Key Requirements: - Convert the current code that solves partial differential equations (PDEs) into one that solves first-order ordinary differential equations (ODEs). - The new implementation should cater to an initial value problem. - The collocation Runge-Kutta method should be used in a discrete model with discrete time. - Integrate the Tanh activation function into the neural network as per the PINNs (Physics-Informed Neural Network) methodology. Ideal Skills: - Strong knowledge in Python and neural networks. - Experience with ODEs and PINNs. - Familiarity with the collocation Runge-Kutta method. - Understanding of the Tanh activation function and its implementation in neural networks.