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 167 (0 this week)

Watchers 11 (0 this week)

Forks 80

License gpl-3.0

This repository has been archived on Github

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RepositoryStats indexes 595,856 repositories, of these AFAgarap/malware-classification is ranked #205,993 (65th percentile) for total stargazers, and #192,427 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #37,147/119,431.

AFAgarap/malware-classification is also tagged with popular topics, for these it's ranked: deep-learning (#3,925/8512), machine-learning (#3,689/8063), computer-vision (#1,344/3130), tensorflow (#1,186/2255), artificial-intelligence (#943/2113), convolutional-neural-networks (#243/549), classification (#224/543), image-classification (#180/399), artificial-neural-networks (#42/101)

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: 2024-12-05 @ 07:04pm, id: 112217643 / R_kgDOBrBOKw