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Shashank-Tripathi-07/awesome-ml-systems-engineering

A curated list of resources for ML Systems Engineering - hardware, compilers, distributed training, inference, and production operations.

#Learning resources#Curated list
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27
2
1 contributors
Custom license
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Momentum

How fast Shashank-Tripathi-07/awesome-ml-systems-engineering 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 21 – Nov 6, 2026

Stars +2 in 47 days

01
1

Forks +0 in 47 days

01

Merged PRs 0 in 47 days

01

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

Not in the Trendshift top 25 in this period

Sep 21Sep 27Oct 3Oct 9Oct 15Oct 21Oct 27Nov 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 21, 2026+1+00
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Fri, Sep 25, 2026+0+00
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Sun, Sep 27, 2026+1+00
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Total+2+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 271 post
    • 🤖 awesome-ml-systems-engineering ⭐ 21 stars Go beyond model training. Master the entire ML systems stack—from hardware and compilers to distributed training and production ops. 🔗 #AI…

      Read full on X, posted by @Marco_Ramilli

      @Marco_Ramilli · x.com

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