https://github.com/dnlcrl/pyscholargraph

Code for "Five Hundred Deep Learning Papers, Graphviz and Python" (http://goo.gl/l1PIoi)
https://github.com/dnlcrl/pyscholargraph

citation deep-learning-papers google-scholar graph graphviz python

Last synced: 3 months ago
JSON representation

Code for "Five Hundred Deep Learning Papers, Graphviz and Python" (http://goo.gl/l1PIoi)

• Host: GitHub
• URL: https://github.com/dnlcrl/pyscholargraph
• Owner: dnlcrl
• License: mit
• Created: 2015-12-02T16:44:42.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2015-12-09T18:08:17.000Z (almost 10 years ago)
• Last Synced: 2025-04-05T11:02:30.613Z (6 months ago)
• Topics: citation, deep-learning-papers, google-scholar, graph, graphviz, python
• Language: Python
• Homepage:
• Size: 12.9 MB
• Stars: 14
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# PyScholarGraph

Code for "Five Hundred Deep Learning Papers, Graphviz and Python" (http://goo.gl/l1PIoi)

# Want to Create a Graph Like This?

![Graph](https://dnlcrl.github.io/assets/dl-gviz/47.png)

# Now You Can! :stuck_out_tongue_winking_eye:

Read how below.

# Prerequisites:

- [graphviz](https://pypi.python.org/pypi/graphviz)

- [colour](https://pypi.python.org/pypi/colour)

- [numpy](https://pypi.python.org/pypi/numpy)

# Generate From Example Data

move in the "example" folder and run 

    python ../src/graph.py

P.S.

Note that there is a lot of redundancy in the example data.