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

NX-AI/flashrnn

FlashRNN - Fast RNN Kernels with I/O Awareness

Visit GitHub
Python
190
18
4 contributors
Apache License 2.0
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

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

Momentum

How fast NX-AI/flashrnn 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 6 – Nov 4, 2026

Stars +3 in 60 days

01
1

Forks +1 in 60 days

01
1

Merged PRs 4 in 60 days

012
2

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

Not in the Trendshift top 25 in this period

Sep 6Sep 14Sep 22Sep 30Oct 8Oct 16Oct 24Nov 1
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, Sep 6, 2026+0+00
Mon, Sep 7, 2026+1+00
Tue, Sep 8, 2026+0+00
Wed, Sep 9, 2026+0+02
Thu, Sep 10, 2026+0+01
Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+0+00
Sun, Sep 13, 2026+0+00
Mon, Sep 14, 2026+0+01
Tue, Sep 15, 2026+0+00
Wed, Sep 16, 2026+0+00
Thu, Sep 17, 2026+0+00
Fri, Sep 18, 2026+0+00
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+0+00
Mon, Sep 21, 2026+0+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+1+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+0+10
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+1+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+00
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+0+00
Total+3+14
  • 1#1 on the list
  • 7Rank that day
  • Not trending

You might also like

Repositories close to NX-AI/flashrnn
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

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

NX-AI/mlstm_kernels

Jupyter Notebook

Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.

9610

lucidrains/light-recurrent-unit-pytorch

Python

Implementation of a Light Recurrent Unit in Pytorch

512

NX-AI/xlstm

Python

Official repository of the xLSTM.

2.2k215

mlech26l/ncps

Python

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

2.4k388

georgeyiasemis/Recurrent-Neural-Networks-from-scratch-using-PyTorch

Python

LSTM, RNN and GRU implementations using Pytorch

7115

fla-org/flash-linear-attention

Python

🚀 Efficient implementations for emerging model architectures

6k777

Dao-AILab/flash-attention

Python

Fast and memory-efficient exact attention

25.2k2.7k

lucidrains/RLT

Python

Implementation of the recurrent looped transformer proposed by Yifan Zhang of Princeton

625

ROCm/flash-attention

Python

Fast and memory-efficient exact attention

24283