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<p>Many of the talks are available on the <a href="https://www.youtube.com/channel/UChvSitFvqGDeA1y7MJs4CGQ/" rel="nofollow">youtube channel of the OHBM Open Science Special Interest Group</a></p> <h3>Other materials</h3> <h4>Agah's spagehtti code refactoring</h4> <p>Jim’s analysis: <a href="https://osf.io/pkqts/" rel="nofollow">https://osf.io/pkqts/</a></p> <p>Eda’s repository: <a href="https://github.com/agahkarakuzu/eda_organized" rel="nofollow">https://github.com/agahkarakuzu/eda_organized</a></p> <p>Videos: <a href="https://www.loom.com/share/2428ab688f5f4382a4195f011d740f94" rel="nofollow">https://www.loom.com/share/2428ab688f5f4382a4195f011d740f94</a></p> <h4>Docker and singularity</h4> <p><a href="https://mri.sbollmann.net/index.php/2020/06/17/containers-for-neuroscience-at-ohbm-brainhack-trainhack-2020/" rel="nofollow">https://mri.sbollmann.net/index.php/2020/06/17/containers-for-neuroscience-at-ohbm-brainhack-trainhack-2020/</a></p> <h4>Machine learning / sk-learn / nilearn</h4> <p>Associated github repo: <a href="https://github.com/mick-d/introml-sklearn-nilearn" rel="nofollow">https://github.com/mick-d/introml-sklearn-nilearn</a></p> <h3>Licence</h3> <p>All the materials shared here are shared under the CC-BY 4.0 license.</p>
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