[PRE REVIEW]: ai3: A Framework Enabling Algorithmic Selection in Deep Neural Networks

[editorialbot]

Submitting author: !--author-handle-->@4imothy<!--end-author-handle-- (Timothy Cronin) Repository: https://github.com/KLab-AI3/ai3 Branch with paper.md (empty if default branch): Version: 0.1.0 Editor: !--editor-->@HaoZeke<!--end-editor-- Reviewers: Pending Managing EiC: Chris Vernon

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Markdown: [![status](https://joss.theoj.org/papers/4a3b4bb9a124d09bb5db437d55b8d74b/status.svg)](https://joss.theoj.org/papers/4a3b4bb9a124d09bb5db437d55b8d74b)

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.06 s (2068.1 files/s, 157883.1 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
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Python                          59            761            198           3469
C++                             24            212             24           1523
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Objective-C++                    2             50              3            380
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YAML                             4             13              0            120
Markdown                         1             15              0            115
TeX                              1              3              0             58
TOML                             1              4              0             39
DOS Batch                        1              8              1             26
Bourne Shell                     1              2              0             14
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make                             1              4              7              9
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SUM:                           120           1370            853           6938
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Commit count by author:

   189  Timothy Cronin
     5  GitHub Actions
     1  sxk1942

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1109/CVPRW56347.2022.00346 is OK
- 10.1145/3620665.3640366 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: A Framework to Enable Algorithmic Design Choice Ex...
- No DOI given, and none found for title: TorchVision: PyTorch’s Computer Vision library

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 775

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: Apache License 2.0 (Valid open source OSI approved license)

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[crvernon]

@editorialbot invite @HaoZeke as editor

:wave: @HaoZeke - can you take this one on as editor? Thanks!

[editorialbot]

Invitation to edit this submission sent!

[HaoZeke]

Hi @crvernon I will be able to edit this, with the caveat being I will not be able to start soliciting reviews until the weekend / Monday morning, I will assign myself if that's OK?

[crvernon]

@editorialbot assign @HaoZeke as editor

Perfectly OK @HaoZeke! Thank you!

[editorialbot]

Assigned! @HaoZeke is now the editor

[HaoZeke]

@editorialbot remind @HaoZeke in 3 days

[editorialbot]

Reminder set for @HaoZeke in 3 days

[editorialbot]

:wave: @HaoZeke, please take a look at the state of the submission (this is an automated reminder).

[HaoZeke]

@crvernon should this go for scope review since this has already been described in an existing publication?

@4imothy could you provide more information about the differences between the proposed publication and https://dl.acm.org/doi/10.1145/3620665.3640366 ?

[4imothy]

Hi @HaoZeke,

The submission to JOSS is meant to pair with ai3 into the future as we add more features, extend compatibility to more frameworks and support more operations, like attention. The JOSS paper is more broad to maintain its generality to future versions of ai3.

Since the last publication, the framework has achieved significant performance improvements, expanded support for additional acceleration platforms, and now PyTorch DNNs using the framework's implementations remain trainable and compilable.

Please let us know if this is sufficient, or if we should resubmit after adding additional features, such as support for attention.

[crvernon]

@editorialbot remind me in two days

[editorialbot]

Reminder set for @crvernon in two days

[editorialbot]

:wave: @crvernon, please take a look at the state of the submission (this is an automated reminder).