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1. Reduced-Order-Modeling-Tutorials Reduced-Order-Modeling-Tutorials Public

   A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Easily runnable on Google Colab.

   Jupyter Notebook 13

2. 2022_Tanaka_HamiltonianGP_NoisySparseData 2022_Tanaka_HamiltonianGP_NoisySparseData Public

   This repository implements the 2022 paper 'Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data' by Tanaka et al.

   Python 1

3. 2024_hamiltonian_dynamics 2024_hamiltonian_dynamics Public

   Python

4. PDEsNumericalMethods PDEsNumericalMethods Public

   Interactive Jupyter notebooks for solving PDEs using numerical methods. Features tutorials on the heat and wave equations with the Newton-Raphson method. Ideal for learning and teaching applied mat…

   Jupyter Notebook