English

ImJoy: an open-source computational platform for the deep learning era

Machine Learning 2019-05-31 v1 Quantitative Methods Machine Learning

Abstract

Deep learning methods have shown extraordinary potential for analyzing very diverse biomedical data, but their dissemination beyond developers is hindered by important computational hurdles. We introduce ImJoy (https://imjoy.io/), a flexible and open-source browser-based platform designed to facilitate widespread reuse of deep learning solutions in biomedical research. We highlight ImJoy's main features and illustrate its functionalities with deep learning plugins for mobile and interactive image analysis and genomics.

Keywords

Cite

@article{arxiv.1905.13105,
  title  = {ImJoy: an open-source computational platform for the deep learning era},
  author = {Wei Ouyang and Florian Mueller and Martin Hjelmare and Emma Lundberg and Christophe Zimmer},
  journal= {arXiv preprint arXiv:1905.13105},
  year   = {2019}
}
R2 v1 2026-06-23T09:33:17.279Z