PyDGN VS vectory

Compare PyDGN vs vectory and see what are their differences.

PyDGN

A research library for automating experiments on Deep Graph Networks (by diningphil)
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PyDGN vectory
1 5
213 64
- -
7.8 10.0
26 days ago over 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PyDGN

Posts with mentions or reviews of PyDGN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-08.

vectory

Posts with mentions or reviews of vectory. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing PyDGN and vectory you can also consider the following projects:

gin-config - Gin provides a lightweight configuration framework for Python

Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.

spock - spock is a framework that helps manage complex parameter configurations during research and development of Python applications

courses - This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

dm-haiku - JAX-based neural network library

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs