CL-Gym: Full-Featured PyTorch Library for Continual Learning

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Deep Learning CL-Gym
Overview

CL-Gym: Full-Featured PyTorch Library for Continual Learning

CL-Gym is a small yet very flexible library for continual learning research and development.
Currently, CL-Gym is under heavy development and ready to be used by experienced researchers and engineers. However, the stable version will be ready for public release in August. Meanwhile, we welcome your feedback and suggestions on making CL-Gym better for researchers and developers!

How to Install

pip install cl-gym

Getting Started

Documentation: https://cl-gym.readthedocs.io/en/main
Short Demo: Open In Colab

Reference

@InProceedings{Mirzadeh_2021_CVPR,
   author = {Mirzadeh, Seyed Iman and Ghasemzadeh, Hassan},
   title = {CL-Gym: Full-Featured PyTorch Library for Continual Learning},
   booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
   month = {June}, year = {2021}, pages = {3621-3627} }
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Comments
  • Missing Dataset PAMAP2

    Missing Dataset PAMAP2

    Dear Authors,

    I cannot find the link to your PAMAP2 Dataset as the link used in your implementation to download the dataset was not available. I have used the original PAMAP2 dataset from UCI link but it is not the same format as yours. Could you help me on this please? Thank you in advance for your help.

    opened by bonpagnakann 0
  • how to create my custom benchmark dataset ?

    how to create my custom benchmark dataset ?

    hello , how to create my custom benchmark dataset ? i am trying to use my own dataset for object detection task. i have two types of dataset and want to enter them in a sort of continual learning.

    but i am still new in the field of continual learning , and want to know how to config the benchmark

    looking forward tp your answer

    opened by alaa-shubbak 1
Releases(v1.0-beta.3)

  • v1.0-beta.3(Jun 23, 2021)

    Notes

    This is the first published version of CL-Gym. The current version needs more rigorous testing, and only then we will publish release candidates.

    Source code(tar.gz)
    Source code(zip)
Owner
Iman Mirzadeh
Graduate Research Assistant
Iman Mirzadeh
GitHub
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