Skip to content

Input Output Hidden Markov Model (IOHMM) in Python

active 2023-08-182026-06-27 (UTC)

Complete coverage26,501 / 26,501 hourly files (100%) · 2 absent upstream2023-08-152026-08-23 (UTC)
Events
64
Pushes
0
Pull requests
0
Issues
5
Stars
28
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 1045 days from 2023-08-18 to 2026-06-27. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 5 total, peak 3 in a day. Comments: 2 total, peak 1 in a day. Stars: 28 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
bobbyx275001
ghcsung1001
NicholasLee761000

Recent activity

Latest issues, pull requests and releases

  • Issue#48bobbyx272026-01-30 10:21
    Hardcoded paths in serialization / deserialization
  • Issue#45bobbyx272025-12-05 12:46
    Need replacing np.Infinity by np.inf
  • Issue#44bobbyx272025-12-05 12:40
    Resuming EM training (unsupervised case)
  • Issue#43bobbyx272025-12-05 10:40
    Training on multiple IDENTICAL sequences / dataframes
  • Issue comment#30bobbyx272025-11-28 18:14
    Train an IOHMM with independent chains
  • Issue#42NicholasLee762024-06-14 15:28
    Training model with multiple transition matrices
  • Issue comment#37ghcsung2023-09-13 20:18
    Regarding Transition Probabilities

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 28 stars here means stars gained during the window, not the repo's star count.