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Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

Python · active 2023-08-162026-03-10 (UTC)

Complete coverage26,496 / 26,496 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
486
Pushes
0
Pull requests
2
Issues
12
Stars
421
Forks
39

Activity over time

Daily event counts in the loaded window

Line chart, 938 days from 2023-08-16 to 2026-03-10. Pushes: 0 total, peak 0 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 12 total, peak 1 in a day. Comments: 12 total, peak 2 in a day. Stars: 421 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
PairZhu3001
Tokenmw2001
relmonta2011
FeiSong1232000
renyu-renyu2001
jhurliman2002
finnn001001
Sylence81000
exdysa1010
Slonna1001
zxp7711000
rachelglenn1000
Fan2022HNU1000
vectorzwt1001
lijun20051000
Queuecumber1001
KaguraNaku1001
abdullah228421000
GiYeolKim1001

Recent activity

Latest issues, pull requests and releases

  • Pull request#67exdysa2026-03-01 20:00
  • Issue comment#62relmonta2025-09-11 07:09
    Updating tests and dtype
  • Issue comment#63KaguraNaku2025-07-16 00:16
    A precision mismatch issue occurred when integrating this library with automatic mixed precision.
  • Issue#63Sylence82025-07-04 14:01
    A precision mismatch issue occurred when integrating this library with automatic mixed precision.
  • Pull request#62relmonta2025-04-18 10:11
  • Issue comment#47GiYeolKim2025-02-25 11:57
    How to change default tensor dtype in pytorch_wavelets
  • Issue comment#51jhurliman2025-01-21 20:43
    Support Automatic Mixed Precision (AMP)
  • Issue comment#40jhurliman2025-01-16 18:13
    Make pypi release with 1D DWT
  • Issue comment#59finnn002024-11-29 07:08
    Question about the shape and data dtype of lowpass ?
  • Issue#61FeiSong1232024-11-08 14:22
    J of DTCWTInverse doesn't work
  • Issue#60PairZhu2024-11-05 15:36
    Is it possible to DWT only one dimension of two-dimensional data?
  • Issue comment#60PairZhu2024-10-25 16:48
    Is it possible to DWT only one dimension of two-dimensional data?
  • Issue#60PairZhu2024-10-25 08:25
    Is it possible to DWT only one dimension of two-dimensional data?
  • Issue#59FeiSong1232024-10-23 09:15
    Question about the shape and data dtype of lowpass ?
  • Issue#58Fan2022HNU2024-09-30 12:58
    Can you provide the formula of wavelet transform
  • Issue#57rachelglenn2024-06-27 14:31
    maximum recursion depth exceeded in comparison
  • Issue comment#56vectorzwt2024-05-30 12:50
    3D wavelet transform
  • Issue comment#51Queuecumber2024-05-09 18:03
    Support Automatic Mixed Precision (AMP)
  • Issue#56renyu-renyu2024-05-09 03:22
    3D wavelet transform
  • Issue comment#31renyu-renyu2024-05-09 03:21
    Extension to 3D Wavelet Transform?
  • Issue comment#52Slonna2024-01-31 13:08
    How to implement DTCWT for 1-D signals? Looking forward to your answer.
  • Issue#55zxp7712023-12-29 03:49
    something wrong when we use encoder to process the high_frequency component
  • Issue#54lijun20052023-12-21 16:13
    How to calculate the params of DWT and IDWT?
  • Issue#53abdullah228422023-11-24 00:16
    py37_cu102/fused/fused.so
  • Issue#52Tokenmw2023-09-21 08:04
    How to implement DTCWT for 1-D signals? Looking forward to your answer.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 421 stars here means stars gained during the window, not the repo's star count.