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[REVIEW]: tfaip - a Generic and Powerful Research Framework for Deep Learning based on Tensorflow #3297
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @levimcclenny, @Het-Shah it looks like you're currently assigned to review this paper 🎉. Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post. ⭐ Important ⭐ If you haven't already, you should seriously consider unsubscribing from GitHub notifications for this (https://github.com/openjournals/joss-reviews) repository. As a reviewer, you're probably currently watching this repository which means for GitHub's default behaviour you will receive notifications (emails) for all reviews 😿 To fix this do the following two things:
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@levimcclenny, @Het-Shah – This is the review thread for the paper. All of our communications will happen here from now on. Please read the "Reviewer instructions & questions" in the first comment above. Both reviewers have checklists at the top of this thread (in that first comment) with the JOSS requirements. As you go over the submission, please check any items that you feel have been satisfied. There are also links to the JOSS reviewer guidelines. The JOSS review is different from most other journals. Our goal is to work with the authors to help them meet our criteria instead of merely passing judgment on the submission. As such, the reviewers are encouraged to submit issues and pull requests on the software repository. When doing so, please mention We aim for the review process to be completed within about 4-6 weeks but please make a start well ahead of this as JOSS reviews are by their nature iterative and any early feedback you may be able to provide to the author will be very helpful in meeting this schedule. |
I'm trying to accept the invite to edit the checklist but its saying "invite expired" - Any idea? Thanks! |
@whedon re-invite @levimcclenny as reviewer |
OK, the reviewer has been re-invited. @levimcclenny please accept the invite by clicking this link: https://github.com/openjournals/joss-reviews/invitations |
Weird. Could you try clicking the invite link above now? |
I have opened an issue in the tfaip repository. I believe this is a great addition to the journal. However, I had some concerns that are mentioned in the issue. |
I also commented on the issue opened by @Het-Shah. I think it's a good paper as well. A few minor things but overall well-written and the documentation is really professional. Would like to see more accessible examples though. Other comments are on the repo. |
@whedon generate pdf |
I am satisfied with the changes that are made. I believe the submission is ready to be accepted! |
@levimcclenny - it looks like there are still a couple of checkboxes unchecked for your review. Would you still like to see changes here from the author to address these items? |
@arfon i good with it! |
👋 @levimcclenny, please update us on how your review is going (this is an automated reminder). |
Apologies for the delay - looks good! |
@ChWick – I've found a small issue with your paper here that makes it a little more readable: Planet-AI-GmbH/tfaip#4 Also, I find the current 'Statement of Need' section rather confusing to read. This section should clearly state for the reader why this software is needed, what problems it uniquely solves (or solves better than other tools) etc. Some comments on this section: This sentence seems out of context?
Are you saying that other tools don't enable this?
This next paragraph again is lacking clarity. Is tfaip unique at being able to describe the 'complete scenario'? What is hard about how current tools do this and how is tfaip solving these problems?
Again, for the next paragraph, what is the value-add here compared to other tools or challenges data practitioners currently face? |
@ChWick - Any update on the above? |
@danielskatz I was on vacation. I will deal with this hopefully this, at most next week. Thanks @afron for the additional, valuable remarks! |
@whedon generate pdf |
@arfon Thank you very much for this comment! We agree that this section required some modification which I guess is also in the interest of the other two reviewers! Please also see Planet-AI-GmbH/tfaip#4. |
@whedon generate pdf |
@whedon generate pdf |
@ChWick – I made a final few changes here: Planet-AI-GmbH/tfaip#6 |
@ChWick - At this point could you make a new release of this software that includes the changes that have resulted from this review. Then, please make an archive of the software in Zenodo/figshare/other service and update this thread with the DOI of the archive? For the Zenodo/figshare archive, please make sure that:
I can then move forward with accepting the submission. |
@arfon The DOI is |
@whedon set 10.5281/zenodo.5011366 as archive |
OK. 10.5281/zenodo.5011366 is the archive. |
@whedon recommend-accept |
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👋 @openjournals/joss-eics, this paper is ready to be accepted and published. Check final proof 👉 openjournals/joss-papers#2401 If the paper PDF and Crossref deposit XML look good in openjournals/joss-papers#2401, then you can now move forward with accepting the submission by compiling again with the flag
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@whedon accept deposit=true |
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🐦🐦🐦 👉 Tweet for this paper 👈 🐦🐦🐦 |
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@levimcclenny, @Het-Shah – many thanks for your reviews here. JOSS relies upon the volunteer efforts of people like you and we simply wouldn't be able to do this without you ✨ @ChWick – your paper is now accepted and published in JOSS ⚡🚀💥 |
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@levimcclenny @Het-Shah @arfon Thank you all for your efforts! |
Congratulations @ChWick and to all your colleagues for the acceptance! 🎉 |
Submitting author: @ChWick (Christoph Wick)
Repository: https://github.com/Planet-AI-GmbH/tfaip
Version: v1.1.0
Editor: @arfon
Reviewer: @levimcclenny, @Het-Shah
Archive: 10.5281/zenodo.5011366
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
Status
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Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)
Reviewer instructions & questions
@levimcclenny & @Het-Shah, please carry out your review in this issue by updating the checklist below. If you cannot edit the checklist please:
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✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨
Review checklist for @levimcclenny
Conflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
Review checklist for @Het-Shah
Conflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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