GitHub - XiangshengGu/hdc_malwareClassification: This research is about utilizing and optimizing two Hyper-Dimensional Computing models (OnlineHD and NeuralHD), which are trained on a huge dataset from Microsoft Malware Classification Challenge (BIG 2015). The average training accuracy, average testing accuracy, training time latency, inference time latency are compared with SVM and MLP models.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
BIC.py		BIC.py
Config.py		Config.py
HDC_SVM_MLP.ipynb		HDC_SVM_MLP.ipynb
MLP.py		MLP.py
NeuralHD_model.py		NeuralHD_model.py
NeuralHDv1.py		NeuralHDv1.py
NeuralHDv2.py		NeuralHDv2.py
OnlineHD_model.py		OnlineHD_model.py
OnlineHDv1.py		OnlineHDv1.py
OnlineHDv2.py		OnlineHDv2.py
PercentofData.ipynb		PercentofData.ipynb
SVM.py		SVM.py
dataSample.7z		dataSample.7z
malware_data_preprocessing.py		malware_data_preprocessing.py
result.csv		result.csv
sampleSubmission.csv		sampleSubmission.csv
testcode.py		testcode.py
trainLabels.csv		trainLabels.csv

About

This research is about utilizing and optimizing two Hyper-Dimensional Computing models (OnlineHD and NeuralHD), which are trained on a huge dataset from Microsoft Malware Classification Challenge (BIG 2015). The average training accuracy, average testing accuracy, training time latency, inference time latency are compared with SVM and MLP models.

hyper-dimensional-computing