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[PRE REVIEW]: Deep-River: A Deep Learning Library for Data Streams #7076
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Five most similar historical JOSS papers: PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs DeepOF: a Python package for supervised and unsupervised pattern recognition in mice motion tracking data SCALAR - A Platform for Real-time Machine Learning Competitions on Data Streams OpenMSIStream: A Python package for facilitating integration of streaming data in diverse laboratory environments giotto-deep: A Python Package for Topological Deep Learning |
@editorialbot invite @cheginit as editor 👋 @cheginit - this seems like a good fit for you, can you take this one on as editor? |
Invitation to edit this submission sent! |
@crvernon Yes, I can. |
@editorialbot assign @cheginit as editor |
Assigned! @cheginit is now the editor |
@kulbachcedric, please give a list of potential reviewers. Do not include |
@cheginit thanks for editing! I would suggest the following reviewers:
Again many thanks in advance and kind regards |
@kulbachcedric Thanks for providing the list. |
👋🏼 @mbdemoraes and @eminizer, Would you like to review this submission to the Journal for Open Source Software? Our reviews are checklist-driven and openly conducted on GitHub over a timeline of 4–6 weeks. Because the process is much more iterative and interactive than a traditional paper review, we would ask you to start within the next 2 weeks. Here are reviewer guidelines for reference: joss.readthedocs.io/en/latest/reviewer_guidelines.html Thanks for your consideration. |
👋🏼 @RMeli, @xiaohk and @GregaVrbancic, Would you like to review this submission to the Journal for Open Source Software? Our reviews are checklist-driven and openly conducted on GitHub over a timeline of 4–6 weeks. Because the process is much more iterative and interactive than a traditional paper review, we would ask you to start within the next 2 weeks. Here are reviewer guidelines for reference: joss.readthedocs.io/en/latest/reviewer_guidelines.html Thanks for your consideration. |
👋🏼 @elliesc, @lucask07, and @SergeyYakubov, Would you like to review this submission to the Journal for Open Source Software? Our reviews are checklist-driven and openly conducted on GitHub over a timeline of 4–6 weeks. Because the process is much more iterative and interactive than a traditional paper review, we would ask you to start within the next 2 weeks. Here are reviewer guidelines for reference: joss.readthedocs.io/en/latest/reviewer_guidelines.html Thanks for your consideration. |
Hi @cheginit |
@lucask07 Thanks for your prompt response and letting me know about your decision. |
Hi @cheginit, sorry for the late reply, I was on holidays. I'm already saturated with editing for JOSS, therefore I can't take on this review. |
@RMeli Thanks for letting me know about your availability. |
Hi @cheginit, Best |
@kulbachcedric thanks for finding a reviewer. Please let me know if you know any other potential reviewer, since we need at least two. I will also keep looking. @musabgultekin, would you like to review this submission to the Journal for Open Source Software? Our reviews are checklist-driven and openly conducted on GitHub over a timeline of 4–6 weeks. Because the process is much more iterative and interactive than a traditional paper review, we would ask you to start within the next 2 weeks. Here are reviewer guidelines for reference: joss.readthedocs.io/en/latest/reviewer_guidelines.html |
Hi @cheginit Yes, I can review the paper for the Journal of Open Source Software. |
@editorialbot add @musabgultekin as reviewer |
@musabgultekin added to the reviewers list! |
@editorialbot add @atanikan as reviewer |
@atanikan added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #7226. |
Hi @atanikan and @musabgultekin, Kind regards, |
@kulbachcedric please use the review issue for all communications not pre-vreiw, thanks. |
Submitting author: @kulbachcedric (Cedric Kulbach)
Repository: https://github.com/online-ml/deep-river
Branch with paper.md (empty if default branch): paper
Version: v0.2.6
Editor: @cheginit
Reviewers: @musabgultekin, @atanikan
Managing EiC: Chris Vernon
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