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.
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- LNN_LTC_Tutorial_Eng.ipynb: An english version of the tutorial
- LNN_LTC_Tutorial_Rus.ipynb: A russian version of the tutorial
This project was inspired and built upon the following resources:
For further details on Liquid Time-Constant Networks and related models, please refer to the following articles:
This project is licensed under the MIT License. See the LICENSE file for more details.