My master thesis project on malware detection using neural networks and multi task learning
Go to file
2017-09-11 16:48:49 +02:00
data refactoring and adding standard files for .gitignore and .keep in data 2017-06-30 09:04:24 +02:00
models remove reguliarizer on dense too 2017-09-11 16:48:49 +02:00
scripts fix test predictions depending on model output specification 2017-08-03 07:51:58 +02:00
.gitignore add visualization for training curves, pr, roc 2017-07-14 14:58:17 +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 minor changes for pauls test 2017-09-11 12:59:13 +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
run_model.sh minor changes for pauls test 2017-09-11 12:59:13 +02:00
run.sh remove regularizer for conv and domain 2017-09-10 23:40:14 +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 move vocab_size into implementation (not user dependent) 2017-07-30 13:47:11 +02:00
visualize.py fix covariance normalization; add run_model script for multi times training 2017-09-11 12:42:44 +02:00

This is the init commit for my master thesis project.