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A comprehensive platform for analyzing microbiome data from the LucKi cohort, featuring machine learning models for age group prediction from gut microbiome taxonomic profiles. The platform includes both interactive Streamlit web application and Jupyter notebook-based analysis.

active 2026-01-052026-02-01 (UTC)

Complete coverage26,576 / 26,576 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
162
Pushes
78
Pull requests
4
Issues
62
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 28 days from 2026-01-05 to 2026-02-01. Pushes: 78 total, peak 15 in a day. Pull requests: 4 total, peak 1 in a day. Issues: 62 total, peak 17 in a day. Comments: 11 total, peak 6 in a day. Stars: 0 total, peak 0 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
Peiprjs1064735
kubazaboj171200
Copilot13416
kretzersj-lgtm11600
Luquiboo6600
iceberrg4300

Recent activity

Latest issues, pull requests and releases

  • ReleasePeiprjs2026-01-30 10:11
    LucKi Microbiome Analysis for Age Prediction
  • ReleasePeiprjs2026-01-30 09:55
    LucKi Microbiome Analysis for Age Prediction
  • Pull request#94Peiprjs2026-01-30 08:12
  • Issue#58Peiprjs2026-01-29 17:14
    Abstract code into outside function
  • Issue#84Peiprjs2026-01-29 17:13
    How do we want to present our main findings?
  • Issue#85Peiprjs2026-01-29 17:13
    Either make the NN interpretable or remove it
  • Pull request#91Peiprjs2026-01-29 09:15
  • Pull request#89Peiprjs2026-01-28 19:23
  • Issue#20Peiprjs2026-01-25 22:58
    IBSI
  • Issue#56Peiprjs2026-01-25 22:58
    Try different hyperparameters of random forest
  • Issue#71Peiprjs2026-01-25 22:57
    Stochastic Gradient Boosting
  • Issue#57Peiprjs2026-01-24 17:52
    Try different feature cutoffs
  • Issue#63Peiprjs2026-01-24 17:51
    Explore model explainability
  • Issue#64Peiprjs2026-01-24 17:51
    LIME
  • Issue#78kubazaboj2026-01-20 16:25
    Check FAIR principles
  • Issue#76kubazaboj2026-01-20 16:20
    Documentation Revision
  • Issue#74Peiprjs2026-01-19 16:17
    Obtain DOI
  • Issue comment#74Peiprjs2026-01-19 16:17
    Obtain DOI
  • Issue comment#17Peiprjs2026-01-19 14:11
    RQS 2.0
  • Issue#67Peiprjs2026-01-19 13:10
    Kernel Random Forest
  • Issue#66Peiprjs2026-01-19 13:10
    XGBoost
  • Issue#70Peiprjs2026-01-19 13:10
    LightGBM
  • Issue#69Peiprjs2026-01-19 13:09
    Gradient Boosting
  • Issue#67Peiprjs2026-01-19 13:08
    Kernel Random Forest
  • Issue#64Peiprjs2026-01-19 12:28
    LIME

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.