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yiakwy-xpu-ml-framework-team/flash-float-jit-kernels

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Python
28
8
1 contributors
Apache License 2.0
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Momentum

How fast yiakwy-xpu-ml-framework-team/flash-float-jit-kernels 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 4 – Nov 15, 2026

Stars +1 in 43 days

01
1

Forks +1 in 43 days

01
1

Merged PRs 2 in 43 days

012
2

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

Not in the Trendshift top 25 in this period

Oct 4Oct 10Oct 16Oct 22Oct 28Nov 3Nov 9Nov 15
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
Sun, Oct 4, 2026+0+02
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+1+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+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+0+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+10
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+0+00
Thu, Nov 5, 2026+0+00
Fri, Nov 6, 2026+0+00
Sat, Nov 7, 2026+0+00
Sun, Nov 8, 2026+0+00
Mon, Nov 9, 2026+0+00
Tue, Nov 10, 2026+0+00
Wed, Nov 11, 2026+0+00
Thu, Nov 12, 2026+0+00
Fri, Nov 13, 2026+0+00
Sat, Nov 14, 2026+0+00
Sun, Nov 15, 2026+0+00
Total+1+12
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jun 241 post
    • … ## Key Contributions … 4. We integrate TVM FFI interfaces for both Triton and native CUDA paths. We validate reduced on-device overheads of our proposed algorithms, and ultimately deliver…

      Read full on X, posted by @yiakwy2023

      @yiakwy2023 · x.com

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