# dPys/PyNets

<https://repo.masters-masters.com/en/repos/dPys/PyNets>

[Home](https://repo.masters-masters.com/en) › [dPys](https://repo.masters-masters.com/en/owners/dPys) › [PyNets](https://repo.masters-masters.com/en/repos/dPys/PyNets)

dPys/PyNets has 124 stars on GitHub. Its RepoMasters card: Prototype tier. A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

| Field | Value |
| --- | --- |
| Owner | [dPys](https://repo.masters-masters.com/en/owners/dPys) |
| Stars | 124 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | workflow, nipype, dipy, nilearn, tractography, fmri, dmri, ensemble-sampling, networks, brain-connectivity |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [dPys/PyNets](https://github.com/dPys/PyNets) |

## Repository

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.