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AlwaysRead/InventoryManagement

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The aim of this project is to develop an inventory management system using deep learning approaches, highlighting the application of transfer learning. The central objective is to set up a reference model that optimizes stock levels, thus avoiding product excesses or shortages, while minimizing storage costs and maximizing sales opportunities

active 2025-04-192025-04-20 (UTC)

Partial coverage16,207 / 20,331 hourly files (80%) · 2 absent upstream · 4,123 failed, retryable2024-04-162026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
9
Pushes
4
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2025-04-19 to 2025-04-20. Pushes: 4 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 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
AlwaysRead2200
KumarTushar092101
Subh-Dipxx1100

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

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.