This site is a place to host Jupyter Notebooks for the Neurodata lab at Johns Hopkins University.

If you are a Neurodata member with write access and would like to add a notebook, check out the Github repo that builds this site. Simply upload your notebook to the _notebooks folder, following all of the instructions there.

For more information on the lab, visit our about page, or our Github to see other projects and open source software.

This site is built with fastpages, An easy to use blogging platform with extra features for Jupyter Notebooks.
fastpages automates the process of creating blog posts via GitHub Actions, so you don’t have to fuss with conversion scripts.

A full list of features can be found on GitHub.

# Posts

### Hierarchical partitioning and plotting on the hemibrain connectome

### Generating a graph layout for the Hemibrain data

### Matching ALPNs

### The Kavli-ome

### Ranking teams by minimizing upsets via graph matching

### Graph matching with "Light Speed Sinkhorn Distances"

### Embedding graphs with covariates

### Finding the right categorical labeling

### Modeling the distribution of neural networks

### Simple random graph models in the latent space framework

### Shuffling Alters QAP Results

### Can you make the objective function better via gm, compared to the purported 1-1?

### GM+SS using JAgt Seedless Procrustes

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