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ZonglinY/MOOSE-Star

[ICML 2026] <MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier>

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Python
97
5
1 contributors
Apache License 2.0
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Momentum

How fast ZonglinY/MOOSE-Star 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 7 – Oct 27, 2026

Stars +3 in 51 days

01
1

Forks +0 in 51 days

01

Merged PRs 0 in 51 days

01

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

Not in the Trendshift top 25 in this period

Sep 7Sep 14Sep 21Sep 28Oct 5Oct 12Oct 19Oct 26
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
Mon, Sep 7, 2026+1+00
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Total+3+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 181 post

    • We post-train LLMs for math, for code, for instruction-following. Why not for scientific discovery? 🫎 MOOSE-Star (ICML 2026) : the first scalable SFT recipe for discipline-agnostic scientific…

      Read full on X, posted by @miromind_ai

      @miromind_ai · x.com

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