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HydroML focuses on predicting Dissolved Oxygen levels in water using various model types. The dataset is obtained from the IEEE website. The study compares hybrid ML models with Deep Learning neural networks to assess their effectiveness and practicality, aiming to gain insights into their suitability and functionality.

active 2024-02-022024-11-14 (UTC)

Complete coverage27,097 / 27,099 hourly files (100%) · 2 absent upstream2023-08-152026-09-17 (UTC)
Events
26
Pushes
20
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 287 days from 2024-02-02 to 2024-11-14. Pushes: 20 total, peak 16 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.

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Top contributors

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

ContributorContributionsPushesPRsComments
Swaran66202000

Recent activity

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