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MatsaVV/Deep_Learning_Prediction_Chiffre

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active 2025-01-162025-02-10 (UTC)

Complete coverage26,642 / 26,642 hourly files (100%) · 2 absent upstream2023-08-152026-08-29 (UTC)
Events
31
Pushes
6
Pull requests
3
Issues
17
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 26 days from 2025-01-16 to 2025-02-10. Pushes: 6 total, peak 5 in a day. Pull requests: 3 total, peak 3 in a day. Issues: 17 total, peak 17 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
MatsaVV26630

Recent activity

Latest issues, pull requests and releases

  • Pull request#33MatsaVV2025-01-16 15:53
  • Pull request#33MatsaVV2025-01-16 15:52
  • Issue#32MatsaVV2025-01-16 14:13
    Finaliser et relire le rapport avant soumission
  • Issue#30MatsaVV2025-01-16 14:13
    Rédiger la section "Validation des performances"
  • Issue#29MatsaVV2025-01-16 14:13
    Valider les performances du modèle
  • Issue#28MatsaVV2025-01-16 14:13
    Tester et ajuster les paramètres d’entraînement (seuil de probabilité)
  • Issue#27MatsaVV2025-01-16 14:12
    Entraîner le modèle avec les images annotées
  • Issue#26MatsaVV2025-01-16 14:12
    Annoter les images du dataset (bounding boxes)
  • Issue#25MatsaVV2025-01-16 14:12
    Configurer l’environnement Azure et Custom Vision
  • Issue#24MatsaVV2025-01-16 14:12
    Justifier la sélection finale (Custom Vision)
  • Issue#23MatsaVV2025-01-16 14:11
    Construire un tableau comparatif des solutions IA
  • Issue#23MatsaVV2025-01-16 14:11
    Construire un tableau comparatif des solutions IA
  • Issue#22MatsaVV2025-01-16 14:11
    Comparer les technologies et critères de sélection (performance, coût, intégration)
  • Issue#22MatsaVV2025-01-16 14:11
    Comparer les technologies et critères de sélection (performance, coût, intégration)
  • Issue#21MatsaVV2025-01-16 14:11
    Comparer les technologies et critères de sélection (performance, coût, intégration)
  • Issue#21MatsaVV2025-01-16 14:10
    Comparer les technologies et critères de sélection (performance, coût, intégration)
  • Issue#20MatsaVV2025-01-16 14:10
    Analyser et synthétiser les articles sur Custom Vision, Florence-2, Roboflow
  • Issue#20MatsaVV2025-01-16 14:10
    Analyser et synthétiser les articles sur Custom Vision, Florence-2, Roboflow
  • Issue#19MatsaVV2025-01-16 14:09
    Identifier et consulter les sources académiques
  • Pull request#18MatsaVV2025-01-16 12:50

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.