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ma_cisco_malware
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My master thesis project on malware detection using neural networks and multi task learning
84 Commits 2 Branches 0 Tags 385 KiB
Python 99.7%
Makefile 0.3%
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René Knaebel 6a47b5f245 add sample weights function to utils for later usage 2017-09-17 10:23:23 +02:00
data refactoring and adding standard files for .gitignore and .keep in data 2017-06-30 09:04:24 +02:00
models refactor training - separate staggered training; make differences as small as possible 2017-09-12 08:36:23 +02:00
scripts remove model selection based on validation loss 2017-09-16 15:25:34 +02:00
.gitignore add visualization for training curves, pr, roc 2017-07-14 14:58:17 +02:00
Makefile refactor all visualization for pauls changes - evaluate on max windows per users 2017-09-08 22:59:55 +02:00
README.md Init repo 2017-06-27 20:01:09 +02:00
arguments.py remove regularizer for conv and domain 2017-09-10 23:40:14 +02:00
dataset.py refactor all visualization for pauls changes - evaluate on max windows per users 2017-09-08 22:59:55 +02:00
fancy.sh remove regularizer for conv and domain 2017-09-10 23:40:14 +02:00
hyperband.py fix chunks per user function bug caused by numpy version of array_split 2017-07-16 18:49:14 +02:00
main.py fix validation split removal by loading h5data into memory 2017-09-17 09:56:18 +02:00
run.sh remove regularizer for conv and domain 2017-09-10 23:40:14 +02:00
run_model.sh add start parameter for run script 2017-09-15 11:12:42 +02:00
test.sh add parser argument for naming in multi model modes, minor fixes, re-set fix vals for network - need to make them flexible 2017-09-05 17:40:57 +02:00
utils.py add sample weights function to utils for later usage 2017-09-17 10:23:23 +02:00
visualize.py remove model selection based on validation loss 2017-09-16 15:25:34 +02:00

README.md

This is the init commit for my master thesis project.