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This repository is to brainstorm,and organize ideas to apply machine learning algorithms to meaningful biological problems. One of our focus is predicting genetic/physical interactions between unknown genes pairs in budding yeast. We would like to extend this analysis to multiple knockout mutants.
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Ido Akkerman / hypre
GNU Lesser General Public License v2.1 onlyParallel solvers for sparse linear systems featuring multigrid methods. This repository houses releases and test releases. Pull requests can still be addressed. LLNL users should use the main repository on MyStash.
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Sonia Conesa Boj / Nemi Educational Platform
MIT LicenseExample Hugo site using GitLab Pages: https://pages.gitlab.io/hugo
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Rapid Whole-Knee Quantification of Cartilage using T1, T2*, and TRAFF2 mapping with Magnetic Resonance Fingerprinting
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Timo Heimovaara / LandfillEmissionModelling
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Giacomo Marangoni / spatial-data-science
MIT License[EPA122A] Spatial Data Science Course offered at TU Delft
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Max Ramgraber / Jupyter Book Manual with HTML element guide
GNU General Public License v3.0 or laterBook describing how to use interactive textbooks, our extensions and our workflow https://teachbooks.tudelft.nl/jupyter-book-manual
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Example Jekyll site using GitLab Pages: https://pages.gitlab.io/jekyll
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