https://github.com/cnkuangshi/LightCTR

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
https://github.com/cnkuangshi/LightCTR

computational-graphs deep-learning distributed-systems factorization-machines machine-learning model-compression parameter-server

Last synced: about 2 months ago
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Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

• Host: GitHub
• URL: https://github.com/cnkuangshi/LightCTR
• Owner: cnkuangshi
• License: apache-2.0
• Created: 2017-11-13T09:19:55.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-06-17T03:38:13.000Z (over 5 years ago)
• Last Synced: 2024-04-06T03:34:51.302Z (6 months ago)
• Topics: computational-graphs, deep-learning, distributed-systems, factorization-machines, machine-learning, model-compression, parameter-server
• Language: C++
• Homepage:
• Size: 9.41 MB
• Stars: 674
• Watchers: 59
• Forks: 143
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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