Skip to content

huckiyang/Voice2Series-Reprogramming

View on GitHub ↗Related repositories →

ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification

active 2023-08-312025-06-10 (UTC)

Complete coverage26,467 / 26,467 hourly files (100%) · 2 absent upstream2023-08-152026-08-21 (UTC)
Events
25
Pushes
1
Pull requests
0
Issues
3
Stars
16
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 650 days from 2023-08-31 to 2025-06-10. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 16 total, peak 1 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
huckiyang4102
lijipu11000
wuziqiang51000

Recent activity

Latest issues, pull requests and releases

  • Issue#5huckiyang2024-11-04 17:33
    Has the PyTorch version of Voice2series been released by you here?
  • Issue comment#5huckiyang2024-10-21 12:49
    Has the PyTorch version of Voice2series been released by you here?
  • Issue#5wuziqiang52024-10-21 12:28
    Has the PyTorch version of Voice2series been released by you here?
  • Issue comment#4huckiyang2024-06-12 19:35
    The article reported a prediction accuracy of 100% for the ford-A dataset, while the V2S_main.py script yielded only 93%.
  • Issue#4lijipu12024-03-12 04:28
    The article reported a prediction accuracy of 100% for the ford-A dataset, while the V2S_main.py script yielded only 93%.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 16 stars here means stars gained during the window, not the repo's star count.