rene/ma_cisco_malware
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René Knaebel b24fa770f9 change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00
data
refactoring and adding standard files for .gitignore and .keep in data
2017-06-30 09:04:24 +02:00
models
add hyperband savefile config, minor change of parameter name
2017-10-03 18:58:54 +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
arguments.py
add hyperband savefile config, minor change of parameter name
2017-10-03 18:58:54 +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
change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00
main.py
change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00
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
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
change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00
visualize.py
change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00

README.md

This is the init commit for my master thesis project.

Description
My master thesis project on malware detection using neural networks and multi task learning
Readme 385 KiB
Languages
Python 99.7%
Makefile 0.3%