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This repository is dedicated to revising and optimizing a data science project by integrating MLOps (Machine Learning Operations) practices and utilizing standard production tools. The goal is to enhance the project’s workflow, deployment, and scalability to align with industry best practices in machine learning lifecycle management.

active 2025-02-172025-02-24 (UTC)

Complete coverage27,145 / 27,147 hourly files (100%) · 2 absent upstream2023-08-152026-09-19 (UTC)
Events
28
Pushes
26
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 8 days from 2025-02-17 to 2025-02-24. Pushes: 26 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 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
juxue97262600

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.