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

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.

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Python
43
4
1 contributors
Apache License 2.0
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Bifrost

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

Momentum

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

Oct 8 – Nov 5, 2026

Stars +43 in 29 days

051015
11

Forks +4 in 29 days

0123
3

Merged PRs 0 in 29 days

01

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

Not in the Trendshift top 25 in this period

Oct 8Oct 12Oct 16Oct 20Oct 24Oct 28Nov 1Nov 5
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
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+9+30
Sun, Oct 11, 2026+10+00
Mon, Oct 12, 2026+7+10
Tue, Oct 13, 2026+11+00
Wed, Oct 14, 2026+1+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+1+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+1+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+1+00
Fri, Oct 23, 2026+0+00
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+00
Mon, Oct 26, 2026+0+00
Tue, Oct 27, 2026+0+00
Wed, Oct 28, 2026+1+00
Thu, Oct 29, 2026+0+00
Fri, Oct 30, 2026+0+00
Sat, Oct 31, 2026+0+00
Sun, Nov 1, 2026+0+00
Mon, Nov 2, 2026+0+00
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+0+00
Thu, Nov 5, 2026+1+00
Total+43+40
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 135 posts8 posts

    • [UPDATE] I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/ml_news

    • [UPDATE] I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/deeplearning

    • [UPDATE] I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/learnmachinelearning

    • [UPDATE] I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/mlscaling

    • [UPDATE] I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/huggingface

    • [UPDATE] I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/OpenSourceAI

    • [UPDATE] I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/OpenSourceeAI

    • [UPDATE] I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/ResearchML

  2. Oct 102 posts

    • I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/ResearchML

    • I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

      Read full on Reddit

      r/OpenSourceeAI

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