Footer

Your go-to destination for discovering trending open-source projects and uncovering the insights that matter

Legal

  • Terms and conditions
  • Privacy policy

More

  • Pricing
  • Advertise
  • onedump
  • gosnakego
  • Contact us

Social

  • X (Twitter)
  • GitHub
Trendshift owl
What they build speaks louder than words
© 2026 Trendshift, created by Julian Li with ❤️
SignalAdvertise
Trendshift
SignalAdvertise
Sign in
Trendshift owl

Discover trends that matter

SignalAdvertise
DailyWeeklyMonthlyYearly
Live mentionsTopics
RepositoriesDevelopers
InsightsStats

Bifrost
Bifrost

MoonshotAI/Attention-Residuals

Visit GitHub
3.6k
220
3 contributors
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

Fastest Enterprise AI Gateway for Routing, Governing, and Securing all your AI Traffic

Momentum

How fast MoonshotAI/Attention-Residuals 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 – Nov 5, 2026

Stars +69 in 60 days

0510
9

Forks +10 in 60 days

01
1

Merged PRs 0 in 60 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 15Sep 23Oct 1Oct 9Oct 17Oct 25Nov 2
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+2+00
Tue, Sep 8, 2026+1+00
Wed, Sep 9, 2026+1+00
Thu, Sep 10, 2026+0+00
Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+2+00
Sun, Sep 13, 2026+0+00
Mon, Sep 14, 2026+0+00
Tue, Sep 15, 2026+3+10
Wed, Sep 16, 2026+2+10
Thu, Sep 17, 2026+0+00
Fri, Sep 18, 2026+1+00
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+1+00
Mon, Sep 21, 2026+1+00
Tue, Sep 22, 2026+0+00
Wed, Sep 23, 2026+0+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+1+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+1+10
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+1+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+1+00
Mon, Oct 12, 2026+1+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+2+10
Fri, Oct 16, 2026+6+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+9+00
Wed, Oct 21, 2026+4+10
Thu, Oct 22, 2026+4+10
Fri, Oct 23, 2026+0+00
Sat, Oct 24, 2026+4+10
Sun, Oct 25, 2026+2+00
Mon, Oct 26, 2026+7+10
Tue, Oct 27, 2026+2+00
Wed, Oct 28, 2026+2+00
Thu, Oct 29, 2026+1+10
Fri, Oct 30, 2026+1+00
Sat, Oct 31, 2026+2+00
Sun, Nov 1, 2026+2+00
Mon, Nov 2, 2026+2+00
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+0+10
Thu, Nov 5, 2026+0+00
Total+69+100
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Sep 121 post
    • 项目支持开源实现、新实验、基准测试、可视化 $attnres (目前大家在质疑项目方是不是被盗号了……) ca:0xc284f0eef7ce6b3ef07004c059b8da6b16f44bea

      Read full on X, posted by @bajieChina

      @bajieChina · x.com

  2. 2 months earlier
  3. Jul 191 post
    • 训练过程也更稳。老残差在 PreNorm (前置归一化) 下有个老毛病, 层数一深, 隐藏状态的数值持续膨胀, 难以控制。换成 AttnRes 之后, 深层数值保持有界, 梯度在各层的分布也更均匀。

      Read full on X, posted by @aistarmark

      @aistarmark · x.com

You might also like

Repositories close to MoonshotAI/Attention-Residuals
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

Fastest Enterprise AI Gateway for Routing, Governing, and Securing all your AI Traffic

jianke0604/MSAR

[Technical Report] Multi-Stream Attention Residuals

422

vdev-ctrl/Adaptive-Learnable-Hierarchical-Routing-

Python

This repo is a alternative solution for standard self-attention. It uses tree routing with learnable functions for cheaper self-attention while not compromising accuracy.

434

SingleZombie/LLSA

Python

[CVPR 2026 Highlight] Official implementation of Log-linear Sparse Attention (LLSA).

943

thu-ml/SLA

Python

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention

55223

lucidrains/taylor-series-linear-attention

Python

Explorations into the recently proposed Taylor Series Linear Attention

1023

yifanzhang-pro/deep-delta-learning

Python

Official Project Page for Deep Delta Learning (https://arxiv.org/abs/2601.00417)

36326

4rtemi5/ssog

Python

SSOG-Attention: Near-linear Visual-Attention and competitive results on ImageNet.

434

leochlon/secant

Jupyter Notebook

RoPE attention is an exact forward-pass gradient step with softmax intact

573

lucidrains/flash-cosine-sim-attention

Python

Implementation of fused cosine similarity attention in the same style as Flash Attention

22111