Skip to content

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

active 2024-02-292026-06-08 (UTC)

Complete coverage26,574 / 26,574 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
437
Pushes
49
Pull requests
0
Issues
38
Stars
259
Forks
31

Activity over time

Daily event counts in the loaded window

Line chart, 831 days from 2024-02-29 to 2026-06-08. Pushes: 49 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 38 total, peak 3 in a day. Comments: 59 total, peak 13 in a day. Stars: 259 total, peak 8 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
WenWeiTHU6942018
hvlgo276016
hwanyu11211007
m61295003
SkyKingL5003
lqf06243002
laoshuaib3001
forhonourlx3001
sangg-02001
nightforwar2001
balabla9082000
FrankHo-Hwc2001
TDL771000
hdeng261000
MyssH1000
GritLs1000
shisi-cc1000
cccccrj1001
tencities1001
jacks-tang1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#23WenWeiTHU2025-07-22 02:05
    In-Context learning, Relevant Series and self.label_len
  • Issue comment#24WenWeiTHU2025-07-22 01:53
    About the Table 10.
  • Issue#23crkimm2025-07-21 08:28
    In-Context learning, Relevant Series and self.label_len
  • Issue#21MyssH2025-03-27 13:42
    Memory leakage in long term forecast
  • Issue comment#20laoshuaib2025-03-17 07:19
    Input length adjustment
  • Issue#20laoshuaib2025-03-17 07:19
    Input length adjustment
  • Issue#19WenWeiTHU2025-03-17 07:07
    Question About the Implementation of Channel Independence
  • Issue comment#20WenWeiTHU2025-03-17 07:07
    Input length adjustment
  • Issue#20laoshuaib2025-01-04 06:47
    Input length adjustment
  • Issue comment#19cccccrj2024-12-14 08:15
    Question About the Implementation of Channel Independence
  • Issue comment#19WenWeiTHU2024-12-14 04:02
    Question About the Implementation of Channel Independence
  • Issue comment#18lqf06242024-12-02 09:18
    About AutoRegression
  • Issue comment#18hvlgo2024-12-02 09:12
    About AutoRegression
  • Issue comment#18lqf06242024-12-02 09:04
    About AutoRegression
  • Issue#18lqf06242024-12-02 08:00
    About AutoRegression
  • Issue#17hvlgo2024-11-27 03:30
    short_term forecasting
  • Issue comment#17sangg-02024-11-27 03:20
    short_term forecasting
  • Issue comment#17hvlgo2024-11-27 02:52
    short_term forecasting
  • Issue#17sangg-02024-11-27 02:11
    short_term forecasting
  • Issue#16SkyKingL2024-11-12 12:18
    Is AutoTimes truly leveraging LLM's language capabilities?
  • Issue comment#16SkyKingL2024-11-12 12:15
    Is AutoTimes truly leveraging LLM's language capabilities?
  • Issue comment#16WenWeiTHU2024-11-12 08:18
    Is AutoTimes truly leveraging LLM's language capabilities?
  • Issue comment#16WenWeiTHU2024-11-12 08:12
    Is AutoTimes truly leveraging LLM's language capabilities?
  • Issue comment#16WenWeiTHU2024-11-12 08:05
    Is AutoTimes truly leveraging LLM's language capabilities?
  • Issue comment#16SkyKingL2024-11-12 06:01
    Is AutoTimes truly leveraging LLM's language capabilities?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 259 stars here means stars gained during the window, not the repo's star count.