Skip to content

A Fast, Adaptive, Stable, and Transferable Topic Model (NeurIPS 2024)

active 2024-05-312025-05-25 (UTC)

Partial coverage20,505 / 26,261 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-13 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
82
Pushes
19
Pull requests
0
Issues
8
Stars
40
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 360 days from 2024-05-31 to 2025-05-25. Pushes: 19 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 8 total, peak 4 in a day. Comments: 12 total, peak 5 in a day. Stars: 40 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
BobXWu311907
s-jse3001
xing3939393003
FengziJiang1000
keithcallenberg1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#10BobXWu2025-05-17 05:07
    Unpickling Error when loading saved model
  • Issue#10BobXWu2025-05-17 05:06
    Unpickling Error when loading saved model
  • Issue comment#9BobXWu2025-02-06 01:41
    Different Top Topics Each Run
  • Issue#7BobXWu2024-10-02 01:07
    您好,可否问一下我想确定每个文档的主题分布用fastopic可以吗?
  • Issue comment#7BobXWu2024-09-27 23:36
    您好,可否问一下我想确定每个文档的主题分布用fastopic可以吗?
  • Issue#7FengziJiang2024-09-27 09:15
    您好,可否问一下我想确定每个文档的主题分布用fastopic可以吗?
  • Issue#6BobXWu2024-09-21 18:13
    Provide pre-computed embeddings to FASTopic
  • Issue comment#6keithcallenberg2024-09-20 20:00
    Provide pre-computed embeddings to FASTopic
  • Issue comment#3xing3939392024-06-28 07:19
    loss value can not decline
  • Issue comment#3BobXWu2024-06-28 04:39
    loss value can not decline
  • Issue comment#3xing3939392024-06-28 03:14
    loss value can not decline
  • Issue comment#3BobXWu2024-06-28 01:59
    loss value can not decline
  • Issue comment#3xing3939392024-06-28 00:51
    loss value can not decline
  • Issue#1BobXWu2024-05-31 05:15
    Pin `scipy` version to `<=1.12`
  • Issue comment#1BobXWu2024-05-31 05:15
    Pin `scipy` version to `<=1.12`
  • Issue comment#2BobXWu2024-05-31 05:14
    Installing `fastopic` using `pip` causes errors due to outdated `topmost` code
  • Issue#2BobXWu2024-05-31 05:14
    Installing `fastopic` using `pip` causes errors due to outdated `topmost` code
  • Issue comment#2s-jse2024-05-31 00:12
    `TypeError: RawDatasetHandler.__init__() got an unexpected keyword argument 'pretrained_WE'`
  • Issue#2s-jse2024-05-31 00:07
    `TypeError: RawDatasetHandler.__init__() got an unexpected keyword argument 'pretrained_WE'`
  • Issue#1s-jse2024-05-31 00:04
    Pin `scipy` version to `<=1.12`

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 40 stars here means stars gained during the window, not the repo's star count.