-
-
Notifications
You must be signed in to change notification settings - Fork 38
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[PRE REVIEW]: Cosmodoit: A Python Package for Adaptive, Efficient Pipelining of Feature Extraction from Performed Music #7523
Comments
Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks. For a list of things I can do to help you, just type:
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
|
@editorialbot set Paper as branch |
Done! branch is now Paper |
@editorialbot generate pdf |
@editorialbot check repository |
Software report:
Commit count by author:
|
Paper file info: 📄 Wordcount for ✅ The paper includes a |
License info: 🟡 License found: |
Five most similar historical JOSS papers: guitarsounds: A Python package to visualize harmonic sounds for musical instrument design libsoni: A Python Toolbox for Sonifying Music Annotations and Feature Representations flowTorch - a Python library for analysis and reduced-order modeling of fluid flows ms3: A parser for MuseScore files, serving as data factory for annotated music corpora GMP-Featurizer: A parallelized Python package for efficiently computing the Gaussian Multipole features of atomic systems |
Submitting author: @CGuichaoua (Corentin Guichaoua)
Repository: https://github.com/erc-cosmos/cosmodoit/
Branch with paper.md (empty if default branch): Paper
Version: 0.5.0
Editor: Pending
Reviewers: Pending
Managing EiC: Arfon Smith
Status
Status badge code:
Author instructions
Thanks for submitting your paper to JOSS @CGuichaoua. Currently, there isn't a JOSS editor assigned to your paper.
@CGuichaoua if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.
Editor instructions
The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:
The text was updated successfully, but these errors were encountered: