This project demonstrates the integration of PyTorch for running a neural network and Raylib for real-time visualization. The neural network is trained using PyTorch, and the trained model's predictions are visualized using the Raylib library.

Make sure you have the following dependencies installed:

• Python 3.x
• PyTorch
• Raylib
• NumPy

Install the required Python packages using:

pip install torch raylib numpy

1. Clone the repository:

git clone https://github.com/your-username/your-project.git
cd your-project

2. Run the main script:

python main.py

3. Observe the Raylib window displaying the neural network's predictions in real-time.

• main.py: The main script that runs the PyTorch neural network and uses Raylib for visualization.
• model.py: Contains the PyTorch neural network model definition.
• data.py: Handles data loading and preprocessing.
• visualization.py: Manages the visualization using Raylib.

• PyTorch: https://pytorch.org/
• Raylib: https://www.raylib.com/

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