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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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Data-Centric Design / dcd-hub
MIT LicenseEntry point of the Data-Centric Design ecosystem of tools.
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Rapid Whole-Knee Quantification of Cartilage using T1, T2*, and TRAFF2 mapping with Magnetic Resonance Fingerprinting
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QuTech QDLabs / CryoAlert / CryoAdmin
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Philipp Tempel / Summer Screws 2020 - Website
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Timo Heimovaara / LandfillEmissionModelling
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Default location for all files for 2024-25 academic year. Subset of these files published to webserver.
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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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Webapp to create an inventory of rock samples collected from a borehole. It used the RockIn Data Model to establish the relationship between samples.
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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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Giacomo Marangoni / spatial-data-science
MIT License[EPA122A] Spatial Data Science Course offered at TU Delft
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Project to use the energy system model Calliope for local neighborhood-level modeling
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