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Dao-AILab/flash-attention

Fast and memory-efficient exact attention

Visit GitHub
Python
25.2k
2.7k
198 contributors
BSD 3-Clause "New" or "Revised" License
AchievementsView all →
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Momentum

How fast Dao-AILab/flash-attention 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 5 – Nov 4, 2026

Stars +409 in 61 days

01020
20

Forks +160 in 61 days

0510
10

Merged PRs 83 in 61 days

0510
8

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

Not in the Trendshift top 25 in this period

Sep 5Sep 13Sep 21Sep 29Oct 7Oct 15Oct 23Oct 31
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
Sat, Sep 5, 2026+5+20
Sun, Sep 6, 2026+5+30
Mon, Sep 7, 2026+8+40
Tue, Sep 8, 2026+4+33
Wed, Sep 9, 2026+9+54
Thu, Sep 10, 2026+12+12
Fri, Sep 11, 2026+8+42
Sat, Sep 12, 2026+1+20
Sun, Sep 13, 2026+8+31
Mon, Sep 14, 2026+9+03
Tue, Sep 15, 2026+14+31
Wed, Sep 16, 2026+10+63
Thu, Sep 17, 2026+20+31
Fri, Sep 18, 2026+17+30
Sat, Sep 19, 2026+7+31
Sun, Sep 20, 2026+9+20
Mon, Sep 21, 2026+8+50
Tue, Sep 22, 2026+8+02
Wed, Sep 23, 2026+5+25
Thu, Sep 24, 2026+2+25
Fri, Sep 25, 2026+4+22
Sat, Sep 26, 2026+5+30
Sun, Sep 27, 2026+6+20
Mon, Sep 28, 2026+6+30
Tue, Sep 29, 2026+6+10
Wed, Sep 30, 2026+8+13
Thu, Oct 1, 2026+13+53
Fri, Oct 2, 2026+9+32
Sat, Oct 3, 2026+8+65
Sun, Oct 4, 2026+11+74
Mon, Oct 5, 2026+7+41
Tue, Oct 6, 2026+6+32
Wed, Oct 7, 2026+3+31
Thu, Oct 8, 2026+5+20
Fri, Oct 9, 2026+4+00
Sat, Oct 10, 2026+6+10
Sun, Oct 11, 2026+1+20
Mon, Oct 12, 2026+5+21
Tue, Oct 13, 2026+11+32
Wed, Oct 14, 2026+5+20
Thu, Oct 15, 2026+3+32
Fri, Oct 16, 2026+7+32
Sat, Oct 17, 2026+5+60
Sun, Oct 18, 2026+4+10
Mon, Oct 19, 2026+5+101
Tue, Oct 20, 2026+15+20
Wed, Oct 21, 2026+7+21
Thu, Oct 22, 2026+10+43
Fri, Oct 23, 2026+10+12
Sat, Oct 24, 2026+5+21
Sun, Oct 25, 2026+8+20
Mon, Oct 26, 2026+3+00
Tue, Oct 27, 2026+0+00
Wed, Oct 28, 2026+0+20
Thu, Oct 29, 2026+5+31
Fri, Oct 30, 2026+4+32
Sat, Oct 31, 2026+7+10
Sun, Nov 1, 2026+2+10
Mon, Nov 2, 2026+4+18
Tue, Nov 3, 2026+5+20
Wed, Nov 4, 2026+2+01
Total+409+16083
  • 1#1 on the list
  • 7Rank that day
  • Not trending
4

    • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Python

    Oct 19, 2023 – Mar 7, 2026Best #4

    #1#5#10#15#20#25
    Top 10
    Nov 2023MayNovMayNov
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about Dao-AILab/flash-attention, and every badge it has earned
    1. Nov 21 post

      • day 12: flashattention attention builds a big score table. usually it's sent to slow gpu memory and read back. flashattention works in tiles in fast on-chip sram. same exact math. like scratch paper…

        Read full on X, posted by @i_Am_Snow_Flake

        @i_Am_Snow_Flake · x.com

    2. 1 month earlier
    3. Oct 31 post

      • FlashAttention: the library running inside almost every LLM you use, 2-8x faster attention on GPU (25k stars)

        Read full on Reddit

        r/BestGitHubRepos

    4. Oct 21 post

      • Tensorflow Flash Attention 2 wrapper

        Read full on Reddit

        r/tensorflow

    5. Oct 11 post

      • 105 % of FlashAttention-4 on average (prefill, bf16, causal, hd128, GQA)

        Read full on Reddit

        r/CUDA

    6. 20 days earlier
    7. Sep 111 post

      • AI Inference Resources A structured reading list covering inference fundamentals, serving engines, quantization, GPU programming, distributed inference and benchmarking.

        Read full on X, posted by @agenticgirl

        @agenticgirl · x.com

    8. 3 months earlier
    9. Jun 211 post

      • in other news, triton has a thing called tensor descriptor??? that is pretty un-triton probably added so one can use tma?

        Read full on X, posted by @henrylhtsang

        @henrylhtsang · x.com

    10. 19 days earlier
    11. Jun 21 post

      • 10/ MLC LLM (22.5k ⭐) Universal LLM deployment engine. Runs on any platform via ML compilation. iOS, Android, browser, Linux. One model. Every device.

        Read full on X, posted by @itsharmanjot

        @itsharmanjot · x.com

    12. 14 days earlier
    13. May 191 post

      • FlashAttention-2 in CuTe, from scratch -- a line-by-line walkthrough

        Read full on Reddit

        r/CUDA

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