rene/ma_cisco_malware
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My master thesis project on malware detection using neural networks and multi task learning
110 Commits 2 Branches 0 Tags 385 KiB
Python 99.7%
Makefile 0.3%
b1f48c1895
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René Knaebel b1f48c1895 add soft parameter sharing network
2017-11-06 21:51:49 +01:00
data refactoring and adding standard files for .gitignore and .keep in data 2017-06-30 09:04:24 +02:00
models add soft parameter sharing network 2017-11-06 21:51:49 +01:00
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
arguments.py add bulk embedding visualization and deep1 network 2017-10-09 14:19:01 +02:00
dataset.py refactor hyperband; fix domain generation 2017-11-04 12:47:08 +01:00
fancy.sh refactor hyperband; fix domain generation 2017-11-04 12:47:08 +01:00
hyperband.py add soft parameter sharing network 2017-11-06 21:51:49 +01:00
main.py add soft parameter sharing network 2017-11-06 21:51:49 +01:00
Makefile change hyperband to count minimal val_loss over all losses 2017-10-05 12:55:46 +02:00
README.md Init repo 2017-06-27 20:01:09 +02:00
rerun_models.sh refactor hyperband implementation 2017-09-29 22:59:57 +02:00
run_model_rene.sh add first version of model averaging visualization 2017-09-26 19:25:37 +02:00
run_model.sh add first version of model averaging visualization 2017-09-26 19:25:37 +02:00
run.sh add first version of model averaging visualization 2017-09-26 19:25:37 +02:00
server.py refactor server training into separate file; add additional info to hyperband log 2017-10-19 17:37:29 +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 bulk embedding visualization and deep1 network 2017-10-09 14:19:01 +02:00
visualize.py add TSNE embedding; server evaluation visualization 2017-10-19 17:39:37 +02:00

README.md

This is the init commit for my master thesis project.