pinn-kit 0.0.1

A toolkit for Physics-Informed Neural Networks

PINN-kit

A toolkit for Physics-Informed Neural Networks (PINNs). This package provides tools and utilities for implementing and training physics-informed neural networks for solving differential equations.

Features

• Easy-to-use interface for defining physics-informed neural networks
• Support for various types of differential equations
• Domain handling utilities
• Training and evaluation tools

Installation

pip install PINN-kit

Quick Start

from PINN_kit import PINN, Domain

# Create a domain
domain = Domain(...)

# Initialize a PINN
pinn = PINN(...)

# Train the network
pinn.train(...)

Documentation

For detailed documentation, please visit our documentation page.

License

This project is licensed under the MIT License - see the LICENSE file for details.