Skip to main content

fMRI functional connectivity toolkit with GPU acceleration using torch

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vertex_fc-0.1.1.post1.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vertex_fc-0.1.1.post1-py3-none-any.whl (1.7 kB view details)

Uploaded Python 3

File details

Details for the file vertex_fc-0.1.1.post1.tar.gz.

File metadata

  • Download URL: vertex_fc-0.1.1.post1.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.10

File hashes

Hashes for vertex_fc-0.1.1.post1.tar.gz
Algorithm Hash digest
SHA256 a2117c97c8f59f6bca11ef7541772c0e4329c2bc6b71f321d258393143b82740
MD5 13ee660ee6e350288d1c9f41ab22d6b0
BLAKE2b-256 07da536b8e8314182494dbf22ca528e94b097973fdb3b990784bb617a13ae834

See more details on using hashes here.

File details

Details for the file vertex_fc-0.1.1.post1-py3-none-any.whl.

File metadata

File hashes

Hashes for vertex_fc-0.1.1.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 8e6485117cb33be5fb5130b44af56e40626354d61faedf01c1bc1273ca652847
MD5 0195e26ddaa0ec57496d59eb4b8bce0e
BLAKE2b-256 91e88f326c516823e9b946ed45e3099192faf10c10260f7db6e031eae17fafe3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page