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Shallot-2009/Ketupa_v0.0.3

This is a deep learning project applied to signal integrity and RF analysis. Automated modeling, simulation, and data storage of HFSS for patch antennas , transmission lines vias and connectors. By simulating and testing a large amount of S-parameter and TDR data, the S-parameter model is trained.

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Python
88
10
1 contributors
Apache License 2.0
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Momentum

How fast Shallot-2009/Ketupa_v0.0.3 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 18 – Oct 23, 2026

Stars +0 in 6 days

01

Forks +0 in 6 days

01

Merged PRs 0 in 6 days

01

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

Not in the Trendshift top 25 in this period

Oct 18Oct 19Oct 20Oct 21Oct 22Oct 23
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
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+0+00
Total+0+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

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