semvec/pypi-packages huggingface dataset:
Connectome-Spatial-Smoothing 0.1.6
Connectome Spatial Smoothing
Requires Python: >=3.6

# Connectome Spatial Smoothing

Here, you may find the Python codes and sample scripts for Connectome Spatial Smoothing (CSS).

For more information you may check our article on **Connectome Spatial Smoothing (CSS): concepts, methods and evaluation**. All resources are provided as complementary to the following article:

[![DOI:10.1016/j.neuroimage.2022.118930](http://img.shields.io/badge/DOI-10.1016/j.neuroimage.2022.118930-B31B1B.svg)](https://doi.org/10.1016/j.neuroimage.2022.118930)

**Mansour, L. Sina, et al. "Connectome Spatial Smoothing (CSS): concepts, methods, and evaluation." *NeuroImage* (2022): 118930.**

The code used for this study is now released as a [python package](https://pypi.org/project/Connectome-Spatial-Smoothing/). If using the codes, please also cite the following:

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5746619.svg)](https://doi.org/10.5281/zenodo.5746619)


---

The codes in this repository mainly perform the following tasks:

- Map high-resolution structural connectomes from tractography

- Map atlas-resolution structural connectomes from tractography

- Compute the CSS smoothing kernel with selected parameters

- Perform CSS on high-resolution connectomes

- Perform CSS directly on atlas connectomes

---

## Installation

To use CSS functionality in your code, you can install the package with the following command:

`pip install Connectome-Spatial-Smoothing`

Then, you could simply use the package in your own code after importing:

`from Connectome_Spatial_Smoothing import CSS as css`

---

## Usage notes

### Verbosity:

By default CSS scripts print out a bunch of logs that may or may not be of interest to you. If you like to disable the logs, simply add the following script:

`css._verbose = False`

---

We have provided a short jupyter notebook showcasing all the functionalities described above. You may use the following link to open [this notebook](https://github.com/sina-mansour/connectome-based-smoothing/blob/main/notebooks/example.ipynb) in an interactive google colab session:

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sina-mansour/connectome-based-smoothing/blob/main/notebooks/example.ipynb)

Note: there has been a new release with added functionality that is explained in the following interactive notebook:

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sina-mansour/connectome-based-smoothing/blob/main/notebooks/example-v.0.1.3.ipynb)
OBP-security-pillar 0.2.2
Provides AWS compliance details
Requires Python: >=3.7

# OBP_security_pillar

OBP_security_Pillar package can be used to get the compliance details of Operational Best Practices for AWS Well Architected Security Pillar.

Release Notes:
# v0.0.1
1. Added following compliance checks:
   - RdsAutomaticMinorVersionUpgradeEnabled
   - RdsInstancePublicAccessCheck
   - RdsSnapshotEncrypted
   - RdsSnapshotsPublicProhibited
   - RdsStorageEncrypted
   - S3BucketLoggingEnabled
   - S3BucketVersioningEnabled
sage-analysis 0.2.4
Ingests, analyses, and plots SAGE data products.
Keywords: SAGE redshift astronomy astrophysics galaxy semi-analytic model

|PyPI| |TRAVIS| |RTD| |MIT licensed|

sage-analysis
=============

Package to ingest, analyse, and plot the `SAGE <https://github.com/sage-home/sage-model>`_ data products. 

Installation
-------------
Please install the latest version of ``sage-analysis`` using the following steps

::

    $ git clone git@github.com:sage-home/sage-analysis.git
    $ cd sage-analysis
    $ python -m pip install -e .


Documentation
-------------
The documentation for the ``sage-analysis`` package is `here <https://readthedocs.org/projects/sage-analysis/>`_.


.. |TRAVIS| image::
  https://img.shields.io/travis/com/sage-home/sage-analysis/master.svg?logo=travis&logoColor=white&label=Travis%20CI
  :alt: Travis Badge
  :target: https://travis-ci.com/sage-home/sage-analysis
.. |PyPI| image:: https://img.shields.io/pypi/v/sage-analysis.svg
   :target: https://pypi.org/project/sage-analysis/
   :alt: PyPI Release
.. |RTD| image:: https://readthedocs.org/projects/sage-analysis/badge/?version=latest
   :target: https://sage-analysis.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status  
.. |MIT licensed| image:: https://img.shields.io/badge/license-MIT-blue.svg
   :target: https://raw.githubusercontent.com/sage-home/sage-analysis/master/LICENSE
   :alt: MIT License