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zhengzihaoPKU/RoboECC

Code for Paper "RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models" accepted by IJCNN 2026.

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Python
115
2
2 contributors
MIT License
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Momentum

How fast zhengzihaoPKU/RoboECC is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 9 – Nov 4, 2026

Stars +1 in 57 days

01
1

Forks +0 in 57 days

01

Merged PRs 0 in 57 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 9Sep 17Sep 25Oct 3Oct 11Oct 19Oct 27Nov 4
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
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  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Aug 241 post

    • 💻 zhengzihaoPKU/RoboECC Plans and updates edge-cloud split points for VLA models using cost models and bandwidth prediction. Includes adapters for OpenVLA and constrained CogACT. Key points: •…

      Read full on X, posted by @papersdatacode

      @papersdatacode · x.com

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