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NSF声码器+iSTFTNet

active 2023-09-192026-02-19 (UTC)

Complete coverage26,550 / 26,550 hourly files (100%) · 2 absent upstream2023-08-152026-08-25 (UTC)
Events
260
Pushes
10
Pull requests
0
Issues
16
Stars
191
Forks
22

Activity over time

Daily event counts in the loaded window

Line chart, 885 days from 2023-09-19 to 2026-02-19. Pushes: 10 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 16 total, peak 3 in a day. Comments: 19 total, peak 5 in a day. Stars: 191 total, peak 24 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
yl45792710013
hdmjdp3002
lliwons2001
Ryu18452000
lhc9910252001
bringtree2001
taalua1000
vincentspeech1000
TechInterMezzo1001
lesswrongzh1000
hualizhou1671000
AznamirWoW1000
hc71-yoon1000

Recent activity

Latest issues, pull requests and releases

  • Issue#12AznamirWoW2025-02-08 00:22
    interesting idea, does not really work
  • Issue comment#11yl45792025-01-14 00:47
    can't access the Pre-Trained Models links
  • Issue#11yl45792025-01-14 00:47
    can't access the Pre-Trained Models links
  • Issue#11hualizhou1672024-12-31 03:09
    can't access the Pre-Trained Models links
  • Issue#10taalua2024-08-10 00:25
    sampling rate for JDC network for use in HiFTNet
  • Issue#1Ryu18452024-07-28 12:30
    Comparison to Vocos?
  • Issue comment#9lhc9910252024-07-12 06:55
    train the vocoder with the song data
  • Issue#9lhc9910252024-07-12 03:37
    train the vocoder with the song data
  • Issue#7vincentspeech2024-01-28 12:10
    What is the version of torch?
  • Issue comment#6yl45792023-10-28 05:06
    Language robustness of F0 network
  • Issue#6yl45792023-10-28 05:06
    Language robustness of F0 network
  • Issue comment#1yl45792023-10-28 04:59
    Comparison to Vocos?
  • Issue#6hc71-yoon2023-10-27 05:31
    Language robustness of F0 predictor
  • Issue comment#1TechInterMezzo2023-10-21 15:45
    Comparison to Vocos?
  • Issue comment#1yl45792023-10-03 19:47
    Comparison to Vocos?
  • Issue#5yl45792023-09-28 03:58
    The performance benefits of ` Efficient Source Generation`
  • Issue comment#5yl45792023-09-28 03:58
    The performance benefits of ` Efficient Source Generation`
  • Issue comment#5yl45792023-09-28 03:45
    The performance benefits of ` Efficient Source Generation`
  • Issue comment#5bringtree2023-09-28 03:31
    The performance benefits of ` Efficient Source Generation`
  • Issue#5bringtree2023-09-28 03:27
    The performance benefits of ` Efficient Source Generation`
  • Issue comment#3yl45792023-09-27 16:03
    why in train.py,botch loss_disc and loss_gen use "generator_TPRLS_loss"?
  • Issue#4hdmjdp2023-09-27 08:30
    maybe there is a error
  • Issue comment#3hdmjdp2023-09-27 08:27
    why in train.py,botch loss_disc and loss_gen use "generator_TPRLS_loss"?
  • Issue comment#3hdmjdp2023-09-27 08:26
    why in train.py,botch loss_disc and loss_gen use "generator_TPRLS_loss"?
  • Issue comment#3lliwons2023-09-27 07:02
    why in train.py,botch loss_disc and loss_gen use "generator_TPRLS_loss"?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 191 stars here means stars gained during the window, not the repo's star count.