network-anomaly-detection
Ganesh-Nadkarni/network-anomaly-detection
Tabular Classificationscikit-learn
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 0
- Total downloadsCumulative all-time download counter reported by the source platform.
- 0
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- 0
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
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- –this week
- Parameters
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- Last source update
- Sep 4, 2026
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-09-08. Charts appear as daily observations accumulate.
Overview
network-anomaly-detection is a tabular classification model published by Ganesh-Nadkarni. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it Sep 5, 2026.
- Published
- Sep 3, 2026
- Last updated
- Sep 4, 2026
- Library
- scikit-learn
- License
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- Task
- Tabular Classification
- Parameters
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- Spaces
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- Derivative models
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- Velocity 7D/day
- 0
scikit-learnmachine-learningnetwork-anomaly-detectionnetwork-securityintrusion-detectionnsl-kddgradient-boostingtabular-classificationregion:us
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