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Merge pull request #258 from Remi-Gau/remi-clean_up
[WIP] clean up
2 parents 96e83a2 + d9f0cf6 commit fa3fd14

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_config.yml

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@@ -64,7 +64,7 @@ rightNavigationButtons:
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heroImage: "mtl_photo.jpg"
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heroTitle: "OHBM Brainhack <typeout>"
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eventDate: "June 16-18th 2020"
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hubStreamingInfo: "Americas and EMEA hubs' content will be broadcasted via <a href=https://www.crowdcast.io/ossig2019>Crowdcast</a>. <br>APAC hub will be using Zoom."
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hubStreamingInfo: ""
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typeoutTextValues: '"June 16-18th, 2020", "Worldwide!", ""'
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typeoutFallback: ""
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heroButtons:

_data/sessions.yml

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Familiarity with the unix command line can help but is NOT required. We need Git
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(and Visual Studio Code and Python if you want to follow all examples).
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links:
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presentation: https://osf.io/c5tg6/
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code:
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presentation: https://osf.io/qayf4/
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youtube: https://www.youtube.com/embed//ir_ILsjkwss
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language: english
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complexity: Beginner
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subtype: tutorial / pre-recorded / follow along
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Familiarity with the unix command line can help but is NOT required. We need Git
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(and Visual Studio Code and Python if you want to follow all examples).
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links:
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presentation: https://osf.io/c5tg6/
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code:
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presentation: https://osf.io/qayf4/
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youtube: https://www.youtube.com/embed//ir_ILsjkwss
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language: english
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complexity: Beginner
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subtype: tutorial / pre-recorded / follow along
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links:
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code: https://github.com/agahkarakuzu/eda_organized
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presentation: https://osf.io/pkqts/
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youtube: https://www.youtube.com/embed//AWfrlKTLkqw
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language: english
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complexity: Beginner
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subtype: pre-recorded / demo
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prerequisite: >
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Familiarity with matlab / git / github is useful, but not required.
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links:
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presentation: https://osf.io/53cte/
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language: english
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complexity: Beginner
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subtype: live / workshop
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for facilitating BIDS conversion and data sharing. Finally, we’ll discuss automated processing
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workflows that capitalize on BIDS—i.e. BIDS Apps—for fMRI quality control (MRIQC) and
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preprocessing (fMRIPrep).
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links:
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presentation: https://osf.io/b95es/
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youtube: https://www.youtube.com/embed/K9hVAr5fvJg&t
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thumbnailUrl: /img/traintrack/BIDS_logo.jpg
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prerequisite:
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links:
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language: english
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complexity: Beginner
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subtype: pre-recorded / follow along
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thumbnailUrl: /img/traintrack/docker_singularity.png
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prerequisite: Familiarity with the unix command line can help but is NOT required
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links:
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presentation: https://osf.io/rghca/
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youtube: https://www.youtube.com/embed/pc3YOZUG3lQ
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language: english
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complexity: Beginner
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subtype: Tutorial & Demo / Pre-recorded - Live
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-
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id: 307
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type: traintrack
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title: "Maching learning using Nilearn + Sklearn"
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title: "Machine learning using Nilearn + Sklearn"
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place: "Crowdcast"
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description: "Mix of presentation and hands-on to get acquainted with the main machine learning
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concepts and apply them to neuroimaging datasets."
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thumbnailUrl: /img/traintrack/nilearn-logo.png
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prerequisite: Familiarity with git. Python basics (pandas a plus).
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links:
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youtube: https://www.youtube.com/embed/WpDrpABMRog
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presentation: https://osf.io/3wb52/
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code: https://github.com/mick-d/introml-sklearn-nilearn
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language: english
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complexity: Beginner
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thumbnailUrl: /img/traintrack/datalad.png
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prerequisite:
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links:
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presentation: https://github.com/datalad-handbook/course/blob/master/talks/PDFs/OHBM.pdf
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presentation: https://osf.io/s4tzu/
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code: http://handbook.datalad.org/en/latest/code_from_chapters/OHBM.html
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youtube: https://www.youtube.com/embed/QsAqnP7TwyY
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language: english
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complexity: Beginner
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subtype: pre-recorded / follow along
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prerequisite:
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links:
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website: https://www.incf.org/
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youtube: https://www.youtube.com/embed/teFJ_W6nVUY
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youtube: https://www.youtube.com/embed/ANY7hD0glMo
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language: english
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complexity: Beginner
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subtype: live / moderated discussion
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img/traintrack/matlab_octave.png

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