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speech self-supervised representations

active 2023-08-152026-05-11 (UTC)

Partial coverage20,529 / 26,285 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
181
Pushes
0
Pull requests
0
Issues
18
Stars
125
Forks
10

Activity over time

Daily event counts in the loaded window

Line chart, 1001 days from 2023-08-15 to 2026-05-11. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 18 total, peak 2 in a day. Comments: 28 total, peak 4 in a day. Stars: 125 total, peak 3 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
auspicious3000130012
Eie15002
TechInterMezzo4001
nonmetal3001
kwaihua3001
DennisLiYan3003
leng-yue2002
Remaxic2002
huangf791001
Lukysoon1000
zdj971001
freds01001
hihei1000
Abedalhkeem-z1000
LuisRojas71001
xypiaofei1000
misakiudon1000
thepowerfuldeez1000
GovindK581000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#34auspicious30002025-03-18 23:52
    Is the pretrain model also MIT license?
  • Issue#34auspicious30002025-03-18 23:52
    Is the pretrain model also MIT license?
  • Issue comment#33auspicious30002024-12-24 14:25
    contentvec训练对数据的要求
  • Issue comment#33DennisLiYan2024-12-24 11:00
    contentvec训练对数据的要求
  • Issue comment#33auspicious30002024-12-24 10:58
    contentvec训练对数据的要求
  • Issue comment#33DennisLiYan2024-12-24 10:55
    contentvec训练对数据的要求
  • Issue comment#33auspicious30002024-12-21 07:53
    contentvec训练对数据的要求
  • Issue comment#33DennisLiYan2024-12-18 01:35
    contentvec训练对数据的要求
  • Issue#31Abedalhkeem-z2024-08-22 07:53
    Use ContentVec as pre-trained model.
  • Issue comment#30kwaihua2024-07-08 01:55
    how to convert checkpoint_best_500.pt to checkpoint_best_legacy_500.pt model
  • Issue#30kwaihua2024-07-08 01:55
    how to convert checkpoint_best_500.pt to checkpoint_best_legacy_500.pt model
  • Issue comment#30auspicious30002024-07-05 21:09
    how to convert checkpoint_best_500.pt to checkpoint_best_legacy_500.pt model
  • Issue#30kwaihua2024-07-04 02:49
    how to convert checkpoint_best_500.pt to checkpoint_best_legacy_500.pt model
  • Issue comment#28auspicious30002024-06-16 18:34
    Base for ContentVec model
  • Issue#28Lukysoon2024-06-16 11:33
    Base for ContentVec model
  • Issue comment#27auspicious30002024-04-26 22:34
    Speaker Identification Task Evaluation
  • Issue#27GovindK582024-04-26 21:49
    Ps
  • Issue comment#20Eie12024-04-17 03:13
    Regarding Multinode Training
  • Issue#25Eie12024-04-03 01:33
    how to train a better contentvec model applied on svc task
  • Issue comment#6Eie12024-04-01 06:29
    HuggingFace Version
  • Issue#24Eie12024-03-29 03:17
    question on torch version
  • Issue#24Eie12024-03-29 02:51
    question on torch version
  • Issue comment#22huangf792024-03-16 03:44
    How can I get kmeans clustered features?
  • Issue comment#22Remaxic2024-02-28 06:48
    How can I get kmeans clustered features?
  • Issue comment#22auspicious30002024-02-28 05:54
    How can I get kmeans clustered features?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 125 stars here means stars gained during the window, not the repo's star count.