https://github.com/biaslab/schedulefree-mp

Schedule-free variational message passing on factor graphs

https://github.com/biaslab/schedulefree-mp

Science Score: 13.0%

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    Low similarity (1.7%) to scientific vocabulary

Keywords

bayesian-inference efficient factor-graphs variational-message-passing
Last synced: 5 months ago · JSON representation

Repository

Schedule-free variational message passing on factor graphs

Basic Info
  • Host: GitHub
  • Owner: biaslab
  • License: mit
  • Language: Julia
  • Default Branch: master
  • Homepage:
  • Size: 6.55 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 2
  • Open Issues: 1
  • Releases: 0
Topics
bayesian-inference efficient factor-graphs variational-message-passing
Created almost 7 years ago · Last pushed almost 6 years ago
Metadata Files
Readme License

README.md

Schedule-free variational message-passing

Message passing in factor graphs should be free of an explicit message scheduler. The scheduler is the bottleneck in computational cost, because it has to parse the graph in its entirety. By passing messages based on a local, distributed criterion, the scheduler can be circumvented. Schedule-free MP scales better to to larger graphs.

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Owner

  • Name: BIASlab
  • Login: biaslab
  • Kind: organization
  • Email: info@biaslab.org
  • Location: Eindhoven, the Netherlands

Bayesian Intelligent Autonomous Systems lab

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Last synced: 11 months ago

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  • Total issues: 6
  • Total pull requests: 2
  • Average time to close issues: 4 months
  • Average time to close pull requests: 9 days
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 2.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
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  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
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  • Average comments per issue: 0
  • Average comments per pull request: 0
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Top Authors
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  • wmkouw (4)
  • mroavi (1)
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  • mroavi (2)
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