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  1. CSUMS2022_PINNs CSUMS2022_PINNs Public

    Simple examples of physics-informed neural networks

    Jupyter Notebook 2 1

  2. Bayesian_Optimization Bayesian_Optimization Public

    A naive implementation of Bayesian optimization from scratch.

    Python

  3. Neural_Net_JAX_Optax_Keras Neural_Net_JAX_Optax_Keras Public

    A simple neural network is created using JAX with optax optimizer and a custom defined loss function.

    Jupyter Notebook 1

  4. PINNs PINNs Public

    Optimized implementation of the physics-informed neural network (PINN) using JAX.

    Jupyter Notebook

  5. Gaussian_Process Gaussian_Process Public

    A naive python implementation of the Gaussian Process from scratch.

    Jupyter Notebook

  6. KratosMultiphysics/Kratos KratosMultiphysics/Kratos Public

    Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and…

    C++ 1.2k 276