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AIM-Harvard/FaceAge

Decoding biological age from face photographs using deep learning.

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Jupyter Notebook
116
17
3 contributors
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Momentum

How fast AIM-Harvard/FaceAge 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 7 – Oct 24, 2026

Stars +6 in 18 days

012
2

Forks +0 in 18 days

01

Merged PRs 0 in 18 days

01

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

Not in the Trendshift top 25 in this period

Oct 7Oct 10Oct 13Oct 16Oct 19Oct 22
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
Wed, Oct 7, 2026+1+00
Thu, Oct 8, 2026+0+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+1+00
Tue, Oct 20, 2026+2+00
Wed, Oct 21, 2026+1+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+1+00
Sat, Oct 24, 2026+0+00
Total+6+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 281 post
    • Estimate biological age from any face photo. FaceAge is an open-source Harvard model that predicts biological age from face photos: - Trained on 58,851 healthy individuals - Published in The Lancet…

      Read full on X, posted by @so_sthbryan

      @so_sthbryan · x.com

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