GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — GitHub - Nance-Lab/diff_classifier: This project aims to take existing analyses of nanoparticle diffusion that I have worked on previously and expand the analysis to additional features.

BranchesTags
Open more actions menu

Latest commit

 

History

471 Commits
471 Commits

Folders and files

NameName
Last commit message
Last commit date
.github/workflows
.github/workflows
 
 
diff_classifier
diff_classifier
 
 
dist
dist
 
 
doc
doc
 
 
notebooks
notebooks
 
 
.coverage
.coverage
 
 
.coveragerc
.coveragerc
 
 
.gitignore
.gitignore
 
 
CONTRIBUTING.md
CONTRIBUTING.md
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
requirements.txt
requirements.txt
 
 
setup.py
setup.py
 
 

Repository files navigation

diff_classifier

status Tests codecov Scrutinizer Code Quality Average time to resolve an issue Percentage of issues still open GitHub license DOI

diff_classifier is a python package for analyzing and visualizing 2D nanoparticle trajectory data from multi-particle tracking analysis. The package utilizes the ImageJ package Trackmate for tracking analysis, and Cloudknot for parallelization on AWS.

diff_classifier

This is the diff_classifier development site. You can view the source code and file new issues. If you are just getting started, you should look at the diff_classifier documentation

Contributing

Contributions are welcome! Diff_classifier is open source, built on open source, and we love any input, suggestions, and problems.

Guidelines for contributing are included for your convenience.

Credits

This package was created with shablona.

Guidelines for contributions were based off the CONTRIBUTIONS file developed by Adam Richie-Halford.

About

This project aims to take existing analyses of nanoparticle diffusion that I have worked on previously and expand the analysis to additional features.

Resources

Readme
MIT license

Contributing

Contributing
Activity
Custom properties

Stars

4 stars

Watchers

4 watching

Forks

15 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.