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Wave propagation modules for PyTorch.

Python · active 2024-09-012026-07-02 (UTC)

Partial coverage14,218 / 17,164 hourly files (83%) · 2 absent upstream · 2,946 failed, retryable2024-08-262026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
314
Pushes
62
Pull requests
4
Issues
28
Stars
66
Forks
11

Activity over time

Daily event counts in the loaded window

Line chart, 670 days from 2024-09-01 to 2026-07-02. Pushes: 62 total, peak 11 in a day. Pull requests: 4 total, peak 1 in a day. Issues: 28 total, peak 6 in a day. Comments: 120 total, peak 13 in a day. Stars: 66 total, peak 2 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
ar413862165
cathen-maker140013
yulongovo11009
Costaki33100010
LiZHENGYui5005
aaelmeli4002
CRuihua3003
Ruihua-Chen2000
makeabhishek2001
Lujiang-ECUST2002
Vcholerae12011
huangzhiyuan2000
StarrMoonn2000
dhhien15032001
sabertwirl2002
giabao8042001
adarshjcreation1000
kimkin192121000
LZT19451001
z9812011000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#116ar42026-05-07 17:36
    Modeling a water layer (Vs=0) above a solid with `deepwave.elastic`
  • Issue comment#118ar42026-05-04 16:10
    Does acoustic support density inversion?
  • Issue comment#117ar42026-02-28 20:27
    Should I really interpolate?
  • Issue#117ar42026-02-28 20:27
    Should I really interpolate?
  • Issue comment#117sabertwirl2026-02-28 20:10
    Should I really interpolate?
  • Issue comment#117ar42026-02-27 11:03
    Should I really interpolate?
  • Issue comment#102LiZHENGYui2026-02-07 05:07
    Questions on Implementing Conventional RTM and Wavefield Decomposition in DeepWave
  • Issue comment#102ar42026-02-05 20:58
    Questions on Implementing Conventional RTM and Wavefield Decomposition in DeepWave
  • Issue comment#116ar42026-01-22 11:31
    Modeling a water layer (Vs=0) above a solid with `deepwave.elastic`
  • Issue comment#102LiZHENGYui2026-01-22 07:02
    Questions on Implementing Conventional RTM and Wavefield Decomposition in DeepWave
  • Issue comment#116ar42026-01-21 14:46
    Modeling a water layer (Vs=0) above a solid with `deepwave.elastic`
  • Issue comment#116ar42026-01-21 11:24
    Modeling a water layer (Vs=0) above a solid with `deepwave.elastic`
  • Issue#116z9812012026-01-21 08:50
    Modeling a water layer (Vs=0) above a solid with `deepwave.elastic`
  • Issue#115ar42026-01-17 15:27
    Question about the Elastic propagation
  • Issue comment#115ar42026-01-17 15:19
    Question about the Elastic propagation
  • Issue comment#115yulongovo2026-01-17 15:11
    Question about the Elastic propagation
  • Issue comment#115ar42026-01-17 15:03
    Question about the Elastic propagation
  • Issue#115yulongovo2026-01-17 14:46
    Question about the Elastic propagation
  • Issue comment#101ar42026-01-08 22:14
    Does elastic support batched velocity models?
  • Issue comment#114ar42025-12-30 20:16
    Support gradient masking in acoustic wave propagation
  • Pull request#114BlissChapman2025-12-29 21:11
  • Issue#113Ruihua-Chen2025-12-28 13:24
    Calculate the sensitivity kernel of FWI
  • Issue comment#113ar42025-12-28 11:06
    Calculate the sensitivity kernel of FWI
  • Issue#113Ruihua-Chen2025-12-28 10:59
    Calculate the sensitivity kernel of FWI
  • Issue#112ar42025-12-23 20:44
    Rayleigh waves

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 66 stars here means stars gained during the window, not the repo's star count.