# AFAgarap/malware-classification

<https://repo.masters-masters.com/en/repos/AFAgarap/malware-classification>

[Home](https://repo.masters-masters.com/en) › [AFAgarap](https://repo.masters-masters.com/en/owners/AFAgarap) › [malware-classification](https://repo.masters-masters.com/en/repos/AFAgarap/malware-classification)

AFAgarap/malware-classification has 172 stars on GitHub. Its RepoMasters card: Prototype tier. Towards Building an Intelligent Anti-Malware System: A Deep…

| Field | Value |
| --- | --- |
| Owner | [AFAgarap](https://repo.masters-masters.com/en/owners/AFAgarap) |
| Stars | 172 |
| Forks | 78 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2017 |
| Topics | convolutional-neural-networks, support-vector-machine, tensorflow, classification, image-classification, artificial-neural-networks, machine-learning, supervised-learning, artificial-intelligence, malware-detection |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AFAgarap/malware-classification](https://github.com/AFAgarap/malware-classification) |

## Repository

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

Archived: this repository is read-only

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.