// OWNER · zhuang2002 · REPO SNAPSHOT
zhuang2002
Self Gradient Forcing (SGF) recovers the missing context-gradient path for self-generated causal memory through a bounded two-pass replay, enabling models trained with only a 5-second window to extrapolate to minute-scale videos with stronger identity, layout, and temporal stability.
STARS41+0 · 7d
FORKS0+0 · 7d
CONTRIBUTORS0maintainer graph thin
OPEN ISSUES · PRS1· 0
LICENSE—no license file
LANGUAGEPython
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//STAR HISTORY · 12M
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//WHY IT'S TRENDING· narrative synthesis · medium confidence
zhuang2002/Self_Gradient_Forcing is sitting at #1190 on the trending leaderboard with a pulse of 12/100 with no cross-source channels firing yet — GitHub-stars-only signal so far.
It sits at 41 stars without a fresh weekly delta on record — the trending placement here is steady-state interest in the Python other space rather than a 7-day breakout.
Watch-outs: no tagged release on record (treat as pre-stable).
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// RELATED REPOS · CROSS-SOURCE OVERLAP
▌ FAQ · answers from the data spine
What is zhuang2002/Self_Gradient_Forcing?
Self Gradient Forcing (SGF) recovers the missing context-gradient path for self-generated causal memory through a bounded two-pass replay, enabling models trained with only a 5-second window to extrapolate to minute-scale videos with stronger identity, layout, and temporal stability.
Who maintains Self_Gradient_Forcing?
Maintained by zhuang2002 (the owner) on GitHub.
What language is Self_Gradient_Forcing written in?
Primarily Python.
When was Self_Gradient_Forcing created? When was the last update?
Created July 22, 2026 · last commit July 23, 2026.
How do I install Self_Gradient_Forcing?
Clone the repo:
git clone https://github.com/zhuang2002/Self_Gradient_Forcing.gitThen follow the README in the cloned directory.Is Self_Gradient_Forcing actively maintained?
yes — but slowing (commits within months)
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//COMMENTS · 0
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