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maxime-leiber/dstft

Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT is a neural network layer whose weights are its parameters (e.g. window and hop lengths).

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Python
53
5
4 contributors
MIT License
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Momentum

How fast maxime-leiber/dstft 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 4 – Oct 27, 2026

Stars +1 in 54 days

01
1

Forks +0 in 54 days

01

Merged PRs 5 in 54 days

0246
5

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
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Total+1+05
  • 1#1 on the list
  • 7Rank that day
  • Not trending

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