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Raman-Lab-UCLA/Multiclass_Metasurface_InverseDesign

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Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548

active 2023-08-182026-07-02 (UTC)

Complete coverage26,684 / 26,684 hourly files (100%) · 2 absent upstream2023-08-152026-08-30 (UTC)
Events
155
Pushes
0
Pull requests
0
Issues
2
Stars
133
Forks
15

Activity over time

Daily event counts in the loaded window

Line chart, 1050 days from 2023-08-18 to 2026-07-02. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 5 total, peak 2 in a day. Stars: 133 total, peak 4 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
zmtttt3002
jiuxiabutingyu2002
erf11221000
FengNDXN1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#2FengNDXN2024-10-11 12:40
    Problem about training the model
  • Issue comment#2zmtttt2024-10-07 10:05
    Problem about training the model
  • Issue comment#4zmtttt2024-10-07 09:49
    About training output results
  • Issue#5zmtttt2024-09-24 01:27
    About Non-uniqueness Problem for Gan
  • Issue comment#4jiuxiabutingyu2023-12-23 07:33
    About training output results
  • Issue comment#2jiuxiabutingyu2023-12-20 08:44
    Problem about training the model
  • Issue#4erf11222023-11-21 08:31
    About training output results

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 133 stars here means stars gained during the window, not the repo's star count.