AFAgarap / malware-classification

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Date Created 2017-11-27 (7 years ago)

Commits 131 (last one 3 years ago)

Stargazers 169 (0 this week)

Watchers 10 (0 this week)

Forks 79

License gpl-3.0

This repository has been archived on Github

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RepositoryStats indexes 643,432 repositories, of these AFAgarap/malware-classification is ranked #214,821 (67th percentile) for total stargazers, and #202,108 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #39,681/132,390.

AFAgarap/malware-classification is also tagged with popular topics, for these it's ranked: deep-learning (#3,998/8901), machine-learning (#3,794/8507), computer-vision (#1,411/3325), tensorflow (#1,186/2316), artificial-intelligence (#1,006/2316), classification (#233/578), convolutional-neural-networks (#246/574), image-classification (#191/423), artificial-neural-networks (#43/106), malware-detection (#35/101)

Other Information

AFAgarap/malware-classification has 3 open pull requests on Github, 40 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 10 closed issues.

Homepage URL: http://arxiv.org/abs/1801.00318

All Topics

tensorflow deep-learning classification computer-vision machine-learning malware-detection supervised-learning image-classification gated-recurrent-units multilayer-perceptron support-vector-machine artificial-intelligence recurrent-neural-networks artificial-neural-networks convolutional-neural-networks

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updated: 2025-03-19 @ 02:35pm, id: 112217643 / R_kgDOBrBOKw