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EnergySystemsModellingLab/MUSE_OS
EnergySystemsModellingLab/MUSE_OS PublicWelcome to the MUSE-OS repository
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andi_challenge
andi_challenge PublicAnalysis of single particle tracking data for characterisation of anomalous diffusion, using convolutional neural networks. Submitted to the Anomalous Diffusion (AnDi) Challenge
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ImperialCollegeLondon/paricia
ImperialCollegeLondon/paricia PublicHydroclimatic data collection and information system
Python 1
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goehringlab/par-segmentation
goehringlab/par-segmentation PublicCell cortex segmentation and quantification in C. elegans PAR protein images
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goehringlab/2024-Bland-EMBO
goehringlab/2024-Bland-EMBO PublicComplete analysis code for Bland et al., 2024
Jupyter Notebook
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EnergySystemsModellingLab/MUSE_2.0
EnergySystemsModellingLab/MUSE_2.0 PublicWelcome to the MUSE 2.0 repository
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