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Uncertainty quantification and calibration of reaction models with Markov-Chain Monte Carlo, with flexible and composable models for the likelihood and corpus of constraints

active 2025-06-032026-08-11 (UTC)

Complete coverage26,676 / 26,676 hourly files (100%) · 2 absent upstream2023-08-152026-08-30 (UTC)
Events
156
Pushes
109
Pull requests
0
Issues
26
Stars
2
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 435 days from 2025-06-03 to 2026-08-11. Pushes: 109 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 26 total, peak 6 in a day. Comments: 12 total, peak 2 in a day. Stars: 2 total, peak 2 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
beykyle1339909
Copilot4102

Recent activity

Latest issues, pull requests and releases

  • Issue comment#34beykyle2026-03-02 02:59
    alpha release
  • Issue comment#23beykyle2025-08-26 17:01
    Pass history between batches in adaptive metropolis
  • Issue#23beykyle2025-08-26 17:01
    Pass history between batches in adaptive metropolis
  • Issue#25beykyle2025-08-06 20:53
    Add block/UML diagram of class structure to readme/documentation
  • Issue comment#18beykyle2025-08-06 20:47
    Add boundary check to proposal sampler for MH
  • Issue#23beykyle2025-08-05 16:16
    Pass history between batches in adaptive metropolis
  • Issue#21beykyle2025-08-05 06:20
    Add empirical coverage, $\chi^2$ distribution, visualizable posterior-predictive distributions (and their credible intervals) as convenience functions to `Walker` (calling functions in `Evidence`)
  • Issue comment#13beykyle2025-08-05 06:17
    Sample log of unknown error, not full error
  • Issue#13beykyle2025-08-05 06:17
    Sample log of unknown error, not full error
  • Issue comment#3beykyle2025-07-21 21:38
    Add simple reaction model fitting examples
  • Issue#3beykyle2025-07-21 21:38
    Add simple reaction model fitting examples
  • Issue comment#16beykyle2025-07-09 17:28
    Updates `Walker` to start calibration from previous state
  • Issue#16beykyle2025-07-09 17:28
    Updates `Walker` to start calibration from previous state
  • Issue comment#16beykyle2025-07-03 20:30
    Updates `Walker` to start calibration from previous state
  • Issue#20beykyle2025-07-03 20:29
    Simplify the process of using a single rng for everything
  • Issue#20beykyle2025-07-02 17:46
    Simplify the process of using a single rng for everything
  • Issue#19beykyle2025-07-02 17:30
    Thread-level shared-memory parallelism for evaluating log-likelihood for single parameter state
  • Issue#18beykyle2025-07-02 17:29
    Add boundary check to proposal sampler
  • Issue comment#16beykyle2025-07-02 17:27
    Updates `Walker` to start calibration from previous state
  • Issue#17beykyle2025-07-02 17:25
    Integrate MPI into `Walker`
  • Issue#16beykyle2025-07-02 17:24
    Updates `Walker` to start calibration from previous state
  • Issue#6beykyle2025-07-02 17:22
    Run multiple chains in parallel in sys err demo and handle autocorrelation by drawing samples from chains
  • Issue#15beykyle2025-06-20 22:52
    Change name of `Corpus` to `Evidence`
  • Issue comment#14beykyle2025-06-20 22:51
    Generalize systematic errors to non-constant ratios
  • Issue#14beykyle2025-06-19 20:26
    Generalize systematic errors to non-constant ratios

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.