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AkshatMittu/Model-Reliability-Analysis-at-Production-Level

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This application assess the reliability of models at production level, the models include regression classification, NLP, CV and time series with key analysis metrics being Performance Drift Analysis, Data Drift Analysis, Data Quality Analysis, Prediction Drift Analysis and SHAP Analysis

active 2024-01-182024-04-29 (UTC)

Complete coverage26,453 / 26,453 hourly files (100%) · 2 absent upstream2023-08-152026-08-21 (UTC)
Events
44
Pushes
37
Pull requests
0
Issues
0
Stars
2
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 103 days from 2024-01-18 to 2024-04-29. Pushes: 37 total, peak 30 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: 2 total, peak 1 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
AkshatMittu373700

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 — 2 stars here means stars gained during the window, not the repo's star count.