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MahanVeisi8/Readahead-Optimization-Using-ML-Models

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Implements Decision Trees, Neural Networks, and Random Forests to optimize the Readahead feature in Linux. Includes data preprocessing, feature selection, and model training for dynamic workload classification and system performance improvement.

active 2024-09-03 → 2025-02-27 (UTC)

Complete coverage28,069 / 28,069 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-27 (UTC)
Events
9
Pushes
1
Pull requests
0
Issues
0
Stars
6
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 178 days from 2024-09-03 to 2025-02-27. Pushes: 1 total, peak 1 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: 6 total, peak 1 in a day.

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Top contributors

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

ContributorContributionsPushesPRsComments
MahanVeisi81100

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