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Pydra's relatives and friends #192
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(Image: CC-BY license, The Turing Way Community, & Scriberia. Zenodo. http://doi.org/10.5281/zenodo.3332808) |
@djarecka @satra @effigies looking awesome 🚀 ! You may want to share a short description that summarizes the purpose and main components so that the project can be added to the website. If you are willing to add a PR, you will need to edit the projects file: The image you pointed would need to be added here: Otherwise, you can share the description here and we'll open the PR. Thanks 👍 ! |
@jhlegarreta - thanks, will create a pr |
@djarecka I removed the video link to avoid unexpected events in the video channel. Would you add that information to the mattermost channel, please? Thanks. |
sure, will add during this hackathon, still not sure when will we meet there |
@djarecka Thank you! Your project seems ready to go! Welcome aboard! 🤗 🎊 |
Interested to work on it. Anyone giving an overview of it anytime soon? |
please join us on the mattermost channel: https://mattermost.brainhack.org/brainhack/channels/nipype the video are pinned to the channel. I'd also recommend going through the tutorial: https://github.com/nipype/pydra-tutorial and ask questions |
mattermost channel isn't working for many of us right now. We reported it on the ongoing Crowdcast session. |
sorry, you can also find me here |
hi @ohbm/project-monitors: My project is ready!
Project info
Title:
Pydra's relatives and friends: providing Pydra's support for FitLins, Nipype interfaces and ML model comparison
Project lead:
Dorota Jarecka: @djarecka
Satra Ghosh: @satra
Chris Markiewicz: @effigies
Mathias Goncalves: @mgxd
Nicole Lo: @nicolocin
...
Timezone:
Most people will be physically on the East Coast of the U.S., but we work weirds hours, and we have one person in Asia (Nicole), so don't hesitate to join!
Hub:
we registered to the Americas Hubs, but everyone is welcome!
Description:
Pydra is a lightweight, Py3.7+ dataflow engine for computational graph construction, manipulation, and distributed execution.
Pydra is a part of the second generation of the Nipype ecosystem, but it is designed as a general-purpose engine to support analytics in any scientific domain.
FitLins is a tool for estimating linear models, defined by the BIDS Stats Models specification proposal, to BIDS-formatted datasets.
Pydra-ML is a demo application that leverages Pydra together with scikit-learn to perform model comparison across a set of classifiers.
Link to project:
https://github.com/nipype/pydra
https://github.com/nipype/pydra-tutorial
https://github.com/nipype/pydra-ml
https://github.com/poldracklab/fitlins
https://github.com/nipy/nipype
Mattermost handle:
@dorota
#hbmhack-nipype
Goals for the OHBM Brainhack
Good first issues:
we will have some, e.g.
nipype/pydra#197
nipype/pydra#33
nipype/pydra-ml#23
Skills:
we can use various skillis:
Chat channel:
we will be using an existing channel:
hbmhack-nipype
Video channel:
Please have a look at the mattermost channel to know the video channel.
Image for the OHBM brainhack website
https://github.com/nipype/pydra/blob/master/pydra_logo.png
Project submission
Submission checklist
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