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Engineer1999/A-Curated-List-of-Must-Read-ML-Research-Papers

A comprehensive, categorized collection of hundreds of research papers and surveys in Machine Learning and Natural Language Processing. This repository organizes papers by topics with direct links for easy access. Continuously updated to help researchers, students, and practitioners quickly find relevant literature across the ML landscape.

#Curated list
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99
10
1 contributors
GNU General Public License v3.0
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Momentum

How fast Engineer1999/A-Curated-List-of-Must-Read-ML-Research-Papers 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

Aug 29 – Oct 24, 2026

Stars +9 in 57 days

012
2

Forks +1 in 57 days

01
1

Merged PRs 0 in 57 days

01

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

Not in the Trendshift top 25 in this period

Aug 29Sep 6Sep 14Sep 22Sep 30Oct 8Oct 16Oct 24
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, Aug 29, 2026+1+00
Sun, Aug 30, 2026+0+00
Mon, Aug 31, 2026+0+00
Tue, Sep 1, 2026+1+00
Wed, Sep 2, 2026+2+00
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Fri, Sep 4, 2026+0+00
Sat, Sep 5, 2026+1+00
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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+1+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+1+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+1+00
Sat, Oct 17, 2026+0+00
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Mon, Oct 19, 2026+0+00
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Sat, Oct 24, 2026+0+00
Total+9+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 251 post

    • Essential curated academic papers in Machine Learningand Natural Language Processing to help researchers, students, and practitioners navigate the vast landscape of modern AI research.

      Read full on X, posted by @brunovinr

      @brunovinr · x.com

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