My master thesis project on malware detection using neural networks and multi task learning
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2017-09-07 15:31:04 +02:00
data refactoring and adding standard files for .gitignore and .keep in data 2017-06-30 09:04:24 +02:00
models add staggered model training for intermediate sever prediction; refactor model return values 2017-09-07 14:24:55 +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 add parser argument for naming in multi model modes, minor fixes, 2017-09-05 12:40:37 +02:00
dataset.py load names with data for per-user evaluation 2017-09-02 16:02:48 +02:00
fancy.sh set server to be not trainable too; refactor visualization script 2017-09-07 15:31:04 +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 set server to be not trainable too; refactor visualization script 2017-09-07 15:31:04 +02:00
Makefile add staggered model training for intermediate sever prediction; refactor model return values 2017-09-07 14:24:55 +02:00
README.md Init repo 2017-06-27 20:01:09 +02:00
run.sh add staggered model training for intermediate sever prediction; refactor model return values 2017-09-07 14:24:55 +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 add parser argument for naming in multi model modes, minor fixes, 2017-09-05 12:40:37 +02:00

This is the init commit for my master thesis project.