SyConn
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Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.
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SyConn issues
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Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 0.24.1 to 1.0.1. Release notes Sourced from scikit-learn's releases. scikit-learn 1.0.1 We're happy to announce the 1.0.1 release with several bugfixes: You can see the changelog here:...
dependencies
run example workflow in our system
The input of SyConn requires the segmentation of the vesicles. But how to obtain them?
Currently, the modules `cnn` and `handler/prediction.py` require an elektronn3 installation. Pytorch-trained networks can now be saved as jit models (`.pts`), which eliminates the elektronn3 dependency for `handler/prediction.py` once all models...
enhancement