NLNS VS VeRyPy

Compare NLNS vs VeRyPy and see what are their differences.

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NLNS VeRyPy
1 1
71 257
- -
1.8 5.0
over 3 years ago 6 months ago
Python Python
GNU General Public License v3.0 only 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.

NLNS

Posts with mentions or reviews of NLNS. We have used some of these posts to build our list of alternatives and similar projects.
  • [D] What type of machine learning can be used to solve timetable optimisation problems?
    1 project | /r/MachineLearning | 27 Mar 2021
    I do not believe anyone has tried ML methods for solving timetable problems yet, so this would be new. My group has come up with several different options for ML+Optimization, but probably our approach "Neural Large Neighborhood Search" will be the most promising here. See our ECAI paper: https://ecai2020.eu/papers/786_paper.pdf, medium post explaining the method: https://dot-bielefeld.medium.com/learning-improvement-heuristics-for-vehicle-routing-problems-with-neural-large-neighborhood-search-6e19252e85f4 and source code: https://github.com/ahottung/NLNS.

VeRyPy

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

What are some alternatives?

When comparing NLNS and VeRyPy you can also consider the following projects:

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

or-gym - Environments for OR and RL Research

optapy - OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.