GitHub / AFAgarap / malware-classification
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
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Stars: 154
Forks: 78
Open issues: 4
License: gpl-3.0
Language: Python
Size: 114 MB
Dependencies parsed at: Pending
Created at: over 7 years ago
Updated at: over 1 year ago
Pushed at: about 2 years ago
Last synced at: over 1 year ago
Topics: artificial-intelligence, artificial-neural-networks, classification, computer-vision, convolutional-neural-networks, deep-learning, gated-recurrent-units, image-classification, machine-learning, malware-detection, multilayer-perceptron, recurrent-neural-networks, supervised-learning, support-vector-machine, tensorflow