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

Last update: Dec 25, 2022

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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:

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

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 ?

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

GitHub Repository

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

Related tags

Overview

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

How to Install

Getting Started

Reference

You might also like...

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gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks.

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Multi-objective gym environments for reinforcement learning.

CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation (ACMMM'21 Oral Paper)

ICSS - Interactive Continual Semantic Segmentation

[CVPR 2022] CoTTA Code for our CVPR 2022 paper Continual Test-Time Domain Adaptation

Comments

Missing Dataset PAMAP2

how to create my custom benchmark dataset ?

Releases(v1.0-beta.3)

v1.0-beta.3(Jun 23, 2021)

Notes

Owner

Iman Mirzadeh

Nested Graph Neural Network (NGNN) is a general framework to improve a base GNN's expressive power and performance

This is the reference implementation for "Coresets via Bilevel Optimization for Continual Learning and Streaming"

Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.

Biomarker identification for COVID-19 Severity in BALF cells Single-cell RNA-seq data

YOLOX-RMPOLY

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Source code related to the article submitted to the International Conference on Computational Science ICCS 2022 in London

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