Metadata-Version: 2.4
Name: vertex-FC
Version: 0.1.1.post1
Summary: fMRI functional connectivity toolkit with GPU acceleration using torch
Home-page: https://github.com/cole-khamnei/vertex
Author: Cole Khamnei
Author-email: Cole Khamnei <cole.khamnei@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/cole-khamnei/vertex
Keywords: fMRI,functional connectivity,GPU,XLA,torch
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: memory_profiler>=0.61.0
Requires-Dist: nibabel>=5.3.2
Requires-Dist: numpy>=2.2.4
Requires-Dist: py_cpuinfo>=9.0.0
Requires-Dist: scipy>=1.15.2
Requires-Dist: torch>=2.6.0
Requires-Dist: tqdm>=4.66.6
Dynamic: author
Dynamic: home-page

# VERTEX: Accelerated fMRI Functional Connectivity Tools
VERTEX is a a python for functional connectivity analysis at the voxel / vertex level that utilizes pytorch for GPU speed ups and scipy sparse matrices for memory savings.

# Tools:
	[] list tools: vFC tools
	[] clustering methods:
		[] PM: infomaps - for individual parcellations
		[] PM: with other clustering techniques
		[] PM: integrate with Sparse-Low Rank Clustering


# Acceleration Effects:
Comparisons are with `wb_command` package (~~version~~):

### Time Speed Up
	[] Creating dconns:
	[] Creating sparse dconns:
	[] Dconn comparisons

### Memory Savings
	[] Creating dconns
	[] Sparse dconns
	[] Dconn comparisons

### Storage Savings
	[] Sparse dconns
	[] Dconn comparisons
