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3d-microscopy-metadata-standards-3d-mms

kasthuri

Metrics derived from Neurodata's Kasthuri data. The data is taken from the somatosensory cortex of a mouse and focuses upon networkX graphs. Data includes global efficiency, local efficiency, degree centrality, node connectivity, etc.

mean-absolute-deviation-packaging

Packing functions to be integrated into developing software, the Quality Compute Engine. Mean Absolute Deviation can be derived from talking degree centrality values and averaging them to analyze brain data.

metadata-extractor

Extracts Exif, IPTC, XMP, ICC and other metadata from image, video and audio files

minimum-spanning-tree

MST/maze generation by Kruskal's, Prim's and Boruvka's algorithm in C. Applicable in understanding possible metrics important for developing connectome software.

mouse-visual-cortex-1

Metrics derived from Neurodata's Mouse Visual Cortex 1 data. The data is taken from the visual cortex of a mouse and focuses upon networkX graphs. Data includes global efficiency, local efficiency, degree centrality, node connectivity, etc.

mouse-visual-cortex-2

Metrics derived from Neurodata's Mouse Visual Cortex 2 data. The data is taken from the visual cortex of a mouse and focuses upon networkX graphs. Data includes global efficiency, local efficiency, degree centrality, node connectivity, etc.

ndiofork

python interface to neurodata code

neuprint-simulation-testing

Testing Simulation Tutorial derived from Neuprint website

neuprint-testing-for-sub-neuron-computations

Testing Neuprint Query Tutorial for Sub Neuron Computation Cohort Training

numpy_pandas_practice

ramontesting

reconchess

Created an AI bot to compete in Johns Hopkins Applied Physics Laboratory’s contest, Reconnaissance Blind Chess with the use of computer programming language to create an algorithm that tracks and reasons all possible chess moves without seeing the whole board