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active 2023-08-292024-02-29 (UTC)

Complete coverage26,781 / 26,781 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
28
Pushes
8
Pull requests
0
Issues
12
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 185 days from 2023-08-29 to 2024-02-29. Pushes: 8 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 12 total, peak 3 in a day. Comments: 5 total, peak 2 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
aanchan11000
jindaczmatrix8503
Rao23213300
macarious2001
jindaxzillusion1001

Recent activity

Latest issues, pull requests and releases

  • Issue#28aanchan2024-02-29 19:04
    Data splitting with same phrase across speakers
  • Issue comment#27jindaxzillusion2024-02-27 19:23
    Run phonetic language model for word level ASR
  • Issue#27aanchan2024-02-12 17:26
    Run phonetic language model for word level ASR
  • Issue#26aanchan2024-01-09 00:00
    Scale TORGO training with watchdog script
  • Issue#25aanchan2024-01-08 23:52
    Convert ipynb TORGO notebook to a python script
  • Issue comment#24jindaczmatrix2023-12-27 07:24
    Look to convert phoneme level outputs to word level outputs
  • Issue comment#23macarious2023-12-21 22:41
    Implement unigram model with ctcdecoder
  • Issue#24aanchan2023-12-18 21:41
    Look to convert phoneme level outputs to word level outputs
  • Issue#23macarious2023-12-15 01:33
    Implement unigram model with ctcdecoder
  • Issue comment#18jindaczmatrix2023-12-03 02:46
    Train a baseline spelling corrector based on hallucinated data
  • Issue comment#21jindaczmatrix2023-12-03 02:45
    Train error correction model for left-out prompts
  • Issue#22aanchan2023-11-16 18:04
    Script to prepare data for leave-some-phrases-out scenario
  • Issue#21aanchan2023-10-05 18:24
    Train error correction model for left-out prompts
  • Issue#20aanchan2023-10-05 18:18
    Run ASR training on a leave one phrase out evaluation scenario
  • Issue#19aanchan2023-10-05 18:14
    Design a leave-one phrase out strategy for TORGO
  • Issue#18aanchan2023-08-29 18:26
    Train a baseline spelling corrector based on hallucinated data
  • Issue#17aanchan2023-08-29 17:36
    Train unigram and trigram LMs on the Europarl corpus

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.