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maxxxzdn/mosaic

(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models [ICML'26]

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Python
48
2
2 contributors
Apache License 2.0
website
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Momentum

How fast maxxxzdn/mosaic 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 1 – Nov 4, 2026

Stars +1 in 35 days

01
1

Forks +0 in 35 days

01

Merged PRs 0 in 35 days

01

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

Not in the Trendshift top 25 in this period

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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
Thu, Oct 1, 2026+1+00
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Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+0+00
Total+1+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 201 post

    • We also release an interactive demo: Mosaic's ensemble forecasts on a rotating globe, shown alongside their spectral power ratio against ERA5, across variables, initial conditions, and lead times.

      Read full on X, posted by @maxxxzdn

      @maxxxzdn · x.com

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