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Projet academique en binome en prediction confrome visant à quantifier les l’incertitude pr´edictive des mod`ele de machine learning et de deep learning.

active 2025-02-142025-06-05 (UTC)

Complete coverage26,749 / 26,749 hourly files (100%) · 2 absent upstream2023-08-152026-09-02 (UTC)
Events
52
Pushes
41
Pull requests
0
Issues
5
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 112 days from 2025-02-14 to 2025-06-05. Pushes: 41 total, peak 16 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 5 total, peak 2 in a day. Comments: 2 total, peak 1 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
mmegdiche262600
HAZAR00151500
josebadalmau5002
jdalch2000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#3josebadalmau2025-05-07 14:31
    Rapport d'avancement de mi-parcours (date limite le 4 avril)
  • Issue#6josebadalmau2025-05-07 14:25
    Plan pour le Rapport Final
  • Issue#5josebadalmau2025-04-02 14:38
    Conformalize the Regression/Classification models
  • Issue#4josebadalmau2025-04-02 14:34
    Metrics for Conformal Prediction
  • Issue comment#2josebadalmau2025-03-19 11:14
    Train a simple neural network on MNIST
  • Issue#2jdalch2025-03-06 10:50
    Train a simple neural network on MNIST
  • Issue#1jdalch2025-03-06 10:47
    Train a linear regression model

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.