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 - daft-dev/daft: Render probabilistic graphical models using matplotlib

BranchesTags
Open more actions menu

Latest commit

 

History

377 Commits
377 Commits

Folders and files

NameName
Last commit message
Last commit date
.github/workflows
.github/workflows
 
 
docs
docs
 
 
images
images
 
 
src/daft
src/daft
 
 
test
test
 
 
.gitignore
.gitignore
 
 
.pre-commit-config.yaml
.pre-commit-config.yaml
 
 
.readthedocs.yaml
.readthedocs.yaml
 
 
HISTORY.rst
HISTORY.rst
 
 
LICENSE.rst
LICENSE.rst
 
 
MANIFEST.in
MANIFEST.in
 
 
README.rst
README.rst
 
 
pyproject.toml
pyproject.toml
 
 
release.md
release.md
 
 

Repository files navigation

https://raw.github.com/dfm/daft/master/images/logo.png

Daft is a Python package that uses matplotlib to render pixel-perfect probabilistic graphical models for publication in a journal or on the internet. With a short Python script and an intuitive model-building syntax you can design directed and undirected graphs and save them in any formats that matplotlib supports.

Get more information at: docs.daft-pgm.org

About

Render probabilistic graphical models using matplotlib

docs.daft-pgm.org

Resources

Readme
MIT license
Activity
Custom properties

Stars

687 stars

Watchers

14 watching

Forks

123 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.