AjNavneet/liquid-neural-network-template

Tutorial to implement Liquid Time-Constant Neural Network from scratch (eng\rus)

Liquid Time-Constant LNN Implementation from scratch

This repository contains a tutorial for implementation of Liquid Time-Constant Neural Networks (LTC-LNNs) using PyTorch from scratch.

The implementation is based on the concept of Liquid Time-Constant Networks, which are a type of continuous-time recurrent neural network.

Getting Started

Prerequisites

To run this project, you will need to have the following libraries installed:

• PyTorch
• NumPy
• Matplotlib

You can install these libraries using pip:

pip install torch numpy matplotlib

Files

• LNN_LTC_Tutorial_Eng.ipynb: An english version of the tutorial
• LNN_LTC_Tutorial_Rus.ipynb: A russian version of the tutorial

Acknowledgements

This project was inspired and built upon the following resources:

• Neural Circuit Policies
• Liquid Time-Constant Networks

References

For further details on Liquid Time-Constant Networks and related models, please refer to the following articles:

• Liquid Time-Constant Networks on Arxiv
• Closed-form Continuous-Time Network models
• LTC-SE
• Liquid-S4

License

This project is licensed under the MIT License. See the LICENSE file for more details.