Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Pinned repositories
Repositories
-
notebooks
Place to host notebooks
-
brainlit
This repository is a container of methods that Neurodata uses to expose their open-source code while it is in the process of being merged with larger scientific libraries such as scipy, scikit-image, or scikit-learn. Additionally, methods for computational neuroscience on brains too specific for a general scientific library can be found here, su…
-
MCC
Reproducible code for "Multiscale Comparative Connectomics" https://arxiv.org/abs/2011.14990
-
primitives-interfaces
A mirror of D3M's primitives-interfaces
-
m2g
NeuroData's MRI to Graphs (m2g) - structural connectome estimation package and pipeline
-
maggot_models
Modeling Drosophila larval connectomes
-
rf-dn-paper
Performance comparisons between random forests and deep networks
-
-
CloudReg
CloudReg
-
hyppo
Python package for multivariate hypothesis testing
-
maggot_connectome
Paper on modeling the larval Drosophila connectome
-
connectocross
Connectocross: statistical characterizations and comparisons of nanoscale connectomes across taxa (A paper in progress)
-
task-similarity
a repo for exploring task-similarity and its utility for downstream inference
-
ProgLearn
NeuroData's package for exploring and using progressive learning algorithms
-
gmot
A paper (in progress) on graph matching via optimal transport.
-
talks
NeuroData Talks
-
latent-distribution-test
Code for Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation: Applications in Connectomics
-
nd_ed
Collection of educational resources. Primarily focused on skills that are helpful in the NeuroData lab or the Neuro Data Design course at Johns Hopkins University.
-
-
dos_and_donts
Experiments showing the do's and don'ts of connectome analysis
-
combining-representations
A repository to implement, deploy and extend the method described in Learning to rank via combining representations.
-
lol
package for dimensionality reduction under supervised data scenarios
