ESN version of pytorch

This repository contains an implementation of the Echo State Network (ESN) algorithm along with an example usage notebook and utility functions.

• ESN_example.ipynb: Jupyter notebook providing a usage example of the ESN implementation.
• ESN_py/: Core package directory containing the implementation of the ESN.
  • __init__.py: Initialization file for the ESN_py package.
  • config.py: Configuration file for the ESN parameters.
  • ESN.py: Core implementation of the Echo State Network.
  • learning_algorithm/: Directory containing different learning algorithms for the ESN.
    • Gradient_descent.py: Implementation of gradient descent learning algorithm.
    • Inverse_matrix.py: Implementation of inverse matrix learning algorithm.
    • Online_learning.py: Implementation of online learning algorithm.
  • utils/: Directory containing utility functions and settings for the ESN.
    • func.py: Utility functions for the ESN.
    • setting.py: Settings and configurations for the ESN utilities.
    • sparseLIB.py: Sparse matrix operations library.
• MackeyGlass_t17.txt: Dataset used in the example notebook.

Ensure you have Python 3.8 or higher installed. Install the necessary dependencies using the following command:

pip install -r requirements.txt

Clone the repository and navigate to the project directory:

git clone https://github.com/hanbuck30/Pytorch_ESN.git