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active 2024-09-232024-11-12 (UTC)

Complete coverage26,487 / 26,487 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
30
Pushes
0
Pull requests
0
Issues
7
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 51 days from 2024-09-23 to 2024-11-12. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 7 total, peak 2 in a day. Comments: 22 total, peak 3 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
gangagyatso4364250018
tenzinchoedon2002
10zinten1001
ta4tsering1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#7tenzinchoedon2024-11-12 09:35
    TTS0010: piper tts training
  • Issue comment#7ta4tsering2024-11-12 06:43
    TTS0010: piper tts training
  • Issue comment#510zinten2024-11-11 07:11
    TTS0007: Finding solutions to making TTS faster.
  • Issue comment#7tenzinchoedon2024-11-11 05:41
    TTS0010: piper tts training
  • Issue#7gangagyatso43642024-11-11 05:06
    TTS0010: piper tts training
  • Issue#6gangagyatso43642024-10-16 04:01
    STT0061: Create a Benchmark text for tts model evaluation.
  • Issue#5gangagyatso43642024-10-16 04:01
    TTS0007: Finding solutions to making TTS faster.
  • Issue comment#4gangagyatso43642024-10-15 10:42
    TTS0062: Create a grade 2 and grade 3 training data for TTS MODEL for each speakers.
  • Issue#4gangagyatso43642024-10-15 10:38
    TTS0062: Create a grade 2 and grade 3 training data for TTS MODEL for each speakers.
  • Issue comment#3gangagyatso43642024-10-14 05:53
    TTS0004: Train the mms TTS for multi speaker in GCP.
  • Issue#3gangagyatso43642024-10-14 05:51
    TTS0004: Train the mms TTS for multi speaker in GCP.
  • Issue comment#2gangagyatso43642024-10-10 04:49
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-10-08 06:12
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-10-08 05:12
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-10-04 07:00
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-10-04 06:35
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-10-03 06:19
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-10-03 06:18
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-10-01 07:02
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-10-01 06:18
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-10-01 04:32
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-09-27 07:18
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#2gangagyatso43642024-09-26 06:30
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue#2gangagyatso43642024-09-25 09:14
    TTS0005: Create a pipeline for MMS TTS model, and train on tts dataset.
  • Issue comment#1gangagyatso43642024-09-25 09:02
    TTS lighter and faster model ( MM24 )

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.