GateON

GateON

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Roadmap
4. Code
5. Contributing
6. Contact
7. Acknowledgements

About The Project

GateON is a continual learning algorithm based on context gating of activity and learning rate modulation based on a leaky availability of neurons or parameters Fast adaptive learning in volatile environment

Built With

SpikesumNet is a pytorch implemented neural network. few other libraries are used for plotting mainly

• Pytorch
• matplotlib
• tqdm
• jupyter

Getting Started

Installation of the does not require special software but for python. and python dependencies

Prerequisites

• python to instal python follow the installation guide

Installation

1. Clone the repo

   git clone https://github.com/martinbarry59/GateON.git

2. Install libraries (go to the repository folder)

   pip install -r requirements.txt

Code

• To run the code:

python run_context_network

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Acknowledgements

• Swiss National Science foundation