Popinn
Examples
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    kr-colab/popinn
    kr-colab/popinn
    • Overview
      • Prerequisites
        • 1. Physics-Informed Learning
        • 2. Anatomy of a Physics-Informed Problem
        • 3. JAX & Equinox Essentials
      • Examples
        • 1. PINN
        • 2. Parametrized PINN
        • 3. Deep Operator Network
        • PINN
        • P2INN
        • DeepONet
      • Grid evaluation
        • Loss
        • Weights
        • Residuals
      • Sampling
        • Adam Optimizer Config
        • L-BFGS Optimizer Config
        • Train
        • Abstract Models
        • Abstract Weights
        • Abstract Sampler

    Examples

    Each example builds upon the ideas of the previous example, so it is recommended to go through them in order. You'll see ideas and more detailed exaplanations that were covered in the Anatomy of a Physics-Informed Problem section, so make sure you read through that first.

    1. PINN
    2. Parametrized PINN
    3. Deep Operator Network
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