Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Date Created 2021-05-25 (3 years ago)
Commits 50 (last one about a year ago)
Stargazers 467 (2 this week)
Watchers 12 (0 this week)
Forks 122
License mit
Ranking

RepositoryStats indexes 622,366 repositories, of these Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning is ranked #98,957 (84th percentile) for total stargazers, and #180,683 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,145/18,620.

Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning is also tagged with popular topics, for these it's ranked: machine-learning (#2,156/8311),  autonomous-vehicles (#43/190),  cyber-security (#32/163),  network-security (#44/127),  hyperparameter-optimization (#42/126)

Star History

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Watcher History

Github watchers over time, collection started in '23

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Recent Commit History

29 commits on the default branch (main) since jan '22

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Issue History

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Languages

The only known language in this repository is Jupyter Notebook

Jupyter NotebookJupyter Notebook

updated: 2025-03-03 @ 12:18pm, id: 370748417 / R_kgDOFhksAQ