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This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is structured on the basis of use-cases providing canonical PyTorch Lightning pipelines allowing to train neural network models that are able to surrogate various physical processes.

active 2023-09-182026-07-23 (UTC)

Complete coverage26,415 / 26,415 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
Events
877
Pushes
273
Pull requests
88
Issues
1
Stars
5
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1040 days from 2023-09-18 to 2026-07-23. Pushes: 273 total, peak 25 in a day. Pull requests: 88 total, peak 14 in a day. Issues: 1 total, peak 1 in a day. Comments: 264 total, peak 21 in a day. Stars: 5 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
A6690153301877048
github-actions[bot]16730154
elasto10647513
cbovalo7716217
mikael10j440026
dependabot[bot]301596
leonicoletti4400
ai4sim-pr-app[bot]3120
MarcMichouxAtos1000

Recent activity

Latest issues, pull requests and releases

  • Pull request#98ai4sim-pr-app[bot]2026-05-05 06:40
  • Issue comment#97github-actions[bot]2026-04-22 08:13
    Merge private into public
  • Issue comment#88github-actions[bot]2026-03-02 15:40
    Merge private into public
  • Issue comment#86github-actions[bot]2026-03-02 07:50
    Merge private into public
  • Issue comment#86github-actions[bot]2026-03-02 07:49
    Merge private into public
  • Issue comment#86github-actions[bot]2026-03-02 07:48
    Merge private into public
  • Pull request#86ai4sim-pr-app[bot]2026-03-02 07:46
  • Issue comment#84github-actions[bot]2026-02-25 14:45
    Merge private into public
  • Pull request#84A6690152026-02-25 14:43
  • Issue comment#83github-actions[bot]2026-02-25 14:39
    Merge private into public
  • Pull request#82A6690152025-04-24 12:53
  • Pull request#79A6690152025-04-24 12:28
  • Issue comment#79cbovalo2025-04-24 08:39
    SBRA-739 redefine the graph creation method
  • Issue comment#79A6690152025-04-23 13:06
    SBRA-739 redefine the graph creation method
  • Issue comment#82github-actions[bot]2025-04-23 09:22
    Merge private to public
  • Issue comment#82github-actions[bot]2025-04-23 09:19
    Merge private to public
  • Issue comment#82github-actions[bot]2025-04-23 09:17
    Merge private to public
  • Issue comment#79cbovalo2025-04-23 07:29
    SBRA-739 redefine the graph creation method
  • Issue comment#81github-actions[bot]2025-04-22 12:32
    Bump the pip group across 4 directories with 1 update
  • Issue comment#81github-actions[bot]2025-04-22 12:13
    Bump the pip group across 4 directories with 1 update
  • Issue comment#81github-actions[bot]2025-04-22 12:13
    Bump the pip group across 4 directories with 1 update
  • Pull request#81dependabot[bot]2025-04-18 18:29
  • Issue comment#80github-actions[bot]2025-03-11 17:18
    Bump keras from 3.7.0 to 3.9.0 in /weather-forecast/ecrad-3d-correction/unets in the pip group across 1 directory
  • Issue comment#80github-actions[bot]2025-03-11 17:18
    Bump keras from 3.7.0 to 3.9.0 in /weather-forecast/ecrad-3d-correction/unets in the pip group across 1 directory
  • Issue comment#80github-actions[bot]2025-03-11 17:15
    Bump keras from 3.7.0 to 3.9.0 in /weather-forecast/ecrad-3d-correction/unets in the pip group across 1 directory

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 5 stars here means stars gained during the window, not the repo's star count.