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Introduction

The cl-lite is a light-weight Class-Incremental Learning (Continual Learning) framework and toolbox based on PyTorch-Lightning. It basically follows the design of PyTorch-Lightning, but adds support for Class-Incremental Learning, and borrows some useful tools from other libraries.

Note!!! It is still in development and will continue to be improved.

Installation

The simplest way to install cl-lite is throght pip as the following command:

pip install git+https://github.com/gqk/cl-lite.git

For more details about installation and requirements, please refer to Installation.

How To Use

We implement several popular CIL approaches in cl-lite-projects, which works with the lastest version of this library. You can quickly start your own project by copying one of these projects, then modiy it to implement your approach.

We do not plan to provide documents for now, please learn from cl-lite-projects and the source code.

Acknowledgement

Some codes of this library are borrowed from the following open source projects:

• PODNet Code
• UCIR Code
• iCaRL Code