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This repository contains source codes and notebook demos for trainin STENCILNET.
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Code accompanying "InverseDirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021
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PDE inference from limited spatiotemporal data
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krishna / Laminin_network
Creative Commons Zero v1.0 UniversalHexagonal spring network with pores are stretched. The resulting stress profile is analyzed. The aim is to verify the hypothesis that in the Zebrafish optic cup, ECM with more pores are under more stress than ECM with less pores.
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kramer / cyclecoalescencealgorithm
MIT LicenseThis is a python implementation of the cycle coalescence algorithm as described by Modes et al, 2016.
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mirandaa / LipidXplorer
OtherUpdated 
Sbalzarini Lab / Software / Parallel Computing / PPM / ppm
GNU General Public License v3.0 onlyUpdated 
walker / NNet_simple
BSD 3Clause "New" or "Revised" LicenseUpdated 
nerli / Nerli_et_al_2020
MIT LicenseScripts written for the paper: "Asymmetric neurogenic commitment of retinal progenitors involves Notch through the endocytic pathway"
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Small scripts and bits for data processing interoperability with the cluster
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rhaase / lecture_applied_bioimage_analysis
Creative Commons Attribution Non Commercial 4.0 InternationalUpdated 
rhaase / lecture_bioimage_analysis_with_fiji
BSD 3Clause "New" or "Revised" LicenseUpdated 
rhaase / ij_macro_gothenburg_2019
Creative Commons Attribution Non Commercial 4.0 InternationalUpdated